BUG: pandas 1.1.0 introduces string comparison bug for larger datasets
- [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.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```python
import pandas as pd

# This works fine
df1 = pd.DataFrame({"a": [1,2,3], "b": ["x","y","z"]})
print(df1 == "x")

# Loading in some bigger data from Kaggle https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data
# data and code file included in zip to make it easy
df2 = pd.read_csv("AB_NYC_2019.csv")

# On pandas v1.1.0 throws a ValueError: unknown type str32
print(df2 == "x")

# On pandas v1.1.0 throws a ValueError: unknown type str128
print(df2 == "John")
```
[reproduce.zip](https://github.com/pandas-dev/pandas/files/5067660/reproduce.zip)

#### Problem description

Previously comparing the dataframe to a string value would give a boolean mask as expected. It is now erroring. Confirmed that on v1.0.5 this works as expected, only on 1.1.0 does this error.

#### Expected Output

A boolean mask of true or false values with the same shape as the dataframe.

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

<details>

INSTALLED VERSIONS
------------------
commit           : d9fff2792bf16178d4e450fe7384244e50635733
python           : 3.7.7.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.18362
machine          : AMD64
processor        : Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : None.None

pandas           : 1.1.0
numpy            : 1.19.1
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.2.2
setuptools       : 49.3.1.post20200810
Cython           : 0.29.21
pytest           : 6.0.1
hypothesis       : 5.24.0
sphinx           : 3.2.0
blosc            : None
feather          : 0.4.0
xlsxwriter       : None
lxml.etree       : 4.4.2
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.17.0
pandas_datareader: None
bs4              : 4.9.1
bottleneck       : 1.3.2
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.1.3
numexpr          : 2.7.1
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 0.15.1
pytables         : None
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : 1.3.13
tables           : 3.6.1
tabulate         : 0.8.7
xarray           : 0.16.0
xlrd             : 1.2.0
xlwt             : None
numba            : None

</details>
