BUG: comparison of int dataframe to string yield unpredictable error (ValueError: unknown type str128)
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---


#### Code Sample

```python
import pandas as pd
import numpy as np
pd.DataFrame(range(10**1), dtype=np.int64)==''  # OK, just a FutureWarning
pd.DataFrame(range(10**2), dtype=np.int64)==''  # OK, just a FutureWarning
pd.DataFrame(range(10**3), dtype=np.int64)==''  # OK, just a FutureWarning
pd.DataFrame(range(10**4), dtype=np.int64)==''  # OK, just a FutureWarning
# pd.DataFrame(range(10**5), dtype=np.int64)==''  # ValueError: unknown type str32
# pd.DataFrame(range(10**5), dtype=np.int64)=='  '  # ValueError: unknown type str64
pd.DataFrame(range(10**5), dtype=np.int64)=='    '  # ValueError: unknown type str128


/home/ubuntu/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/computation/expressions.py:68: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  return op(a, b)
/home/ubuntu/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/computation/expressions.py:68: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  return op(a, b)
/home/ubuntu/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/computation/expressions.py:68: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  return op(a, b)
/home/ubuntu/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/computation/expressions.py:68: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  return op(a, b)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-104-1641071c93d2> in <module>
      5 # pd.DataFrame(range(10**5), dtype=np.int64)==''  # ValueError: unknown type str32
      6 # pd.DataFrame(range(10**5), dtype=np.int64)=='  '  # ValueError: unknown type str64
----> 7 pd.DataFrame(range(10**5), dtype=np.int64)=='    '  # ValueError: unknown type str128

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/ops/__init__.py in f(self, other)
    702 
    703         # See GH#4537 for discussion of scalar op behavior
--> 704         new_data = dispatch_to_series(self, other, op, axis=axis)
    705         return self._construct_result(new_data)
    706 

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/ops/__init__.py in dispatch_to_series(left, right, func, axis)
    263     if not is_list_like(right):
    264         # i.e. scalar, faster than checking np.ndim(right) == 0
--> 265         bm = left._mgr.apply(array_op, right=right)
    266         return type(left)(bm)
    267 

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/internals/managers.py in apply(self, f, align_keys, **kwargs)
    402 
    403             if callable(f):
--> 404                 applied = b.apply(f, **kwargs)
    405             else:
    406                 applied = getattr(b, f)(**kwargs)

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/internals/blocks.py in apply(self, func, **kwargs)
    343         """
    344         with np.errstate(all="ignore"):
--> 345             result = func(self.values, **kwargs)
    346 
    347         return self._split_op_result(result)

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/ops/array_ops.py in comparison_op(left, right, op)
    244             warnings.simplefilter("ignore", DeprecationWarning)
    245             with np.errstate(all="ignore"):
--> 246                 res_values = na_arithmetic_op(lvalues, rvalues, op, is_cmp=True)
    247 
    248     return res_values

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/ops/array_ops.py in na_arithmetic_op(left, right, op, is_cmp)
    140 
    141     try:
--> 142         result = expressions.evaluate(op, left, right)
    143     except TypeError:
    144         if is_cmp:

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/computation/expressions.py in evaluate(op, a, b, use_numexpr)
    228         use_numexpr = use_numexpr and _bool_arith_check(op_str, a, b)
    229         if use_numexpr:
--> 230             return _evaluate(op, op_str, a, b)  # type: ignore
    231     return _evaluate_standard(op, op_str, a, b)
    232 

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/pandas/core/computation/expressions.py in _evaluate_numexpr(op, op_str, a, b)
    110             f"a_value {op_str} b_value",
    111             local_dict={"a_value": a_value, "b_value": b_value},
--> 112             casting="safe",
    113         )
    114 

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/numexpr/necompiler.py in evaluate(ex, local_dict, global_dict, out, order, casting, **kwargs)
    820     # Create a signature
    821     signature = [(name, getType(arg)) for (name, arg) in
--> 822                  zip(names, arguments)]
    823 
    824     # Look up numexpr if possible.

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/numexpr/necompiler.py in <listcomp>(.0)
    819 
    820     # Create a signature
--> 821     signature = [(name, getType(arg)) for (name, arg) in
    822                  zip(names, arguments)]
    823 

~/miniconda3/envs/genomics.py3/lib/python3.7/site-packages/numexpr/necompiler.py in getType(a)
    701     if kind == 'S':
    702         return bytes
--> 703     raise ValueError("unknown type %s" % a.dtype.name)
    704 
    705 

ValueError: unknown type str128
```

#### Problem description

There is an error with an unclear message raised in unpredictable conditions (has to do with dataframe size). Either an informative error message should be raised (the error message itself seems buggy and somehow converts the string size to a supposed data type)

#### Expected Output

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : 2a7d3326dee660824a8433ffd01065f8ac37f7d6
python           : 3.7.3.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.0-1028-aws
Version          : #29~18.04.1-Ubuntu SMP Tue Oct 6 17:14:23 UTC 2020
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : C.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.1.2
numpy            : 1.19.1
pytz             : 2019.1
dateutil         : 2.8.0
pip              : 19.1.1
setuptools       : 41.0.1
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : 2.1.2
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.3.4
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.10.1
IPython          : 7.8.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : 0.8.4
fastparquet      : 0.4.1
gcsfs            : None
matplotlib       : 3.1.0
numexpr          : 2.6.9
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pyxlsb           : None
s3fs             : None
scipy            : 1.5.2
sqlalchemy       : 1.3.9
tables           : 3.5.2
tabulate         : None
xarray           : 0.14.1
xlrd             : 1.2.0
xlwt             : None
numba            : 0.48.0
</details>
