BUG: infinite recursion when using `np.fmin` to combine > 2 Series/DataFrames elementwise
- [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 (1.3.1)
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

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

```python
# These 2-adic invocations don't fail and return a Series/DataFrame/ndarray respectively:
np.fmin(pd.Series(np.array([1, 2])), pd.Series(np.array([3, 4])))
np.fmin(pd.DataFrame(np.array([[1, 2]])), pd.DataFrame(np.array([[3, 4]])))
np.fmin(np.array([1, 2]), np.array([3, 4]), np.array([5, 6]))

# These 3-adic invocations fail (RecursionError: maximum recursion depth exceeded)
np.fmin(pd.Series(np.array([1, 2])), pd.Series(np.array([3, 4])), pd.Series(np.array([5, 6])))
np.minimum(pd.Series(np.array([1, 2])), pd.Series(np.array([3, 4])), pd.Series(np.array([5, 6])))
np.fmin(pd.DataFrame(np.array([[1, 2]])), pd.DataFrame(np.array([[3, 4]])), pd.DataFrame(np.array([[5, 6]])))
```

#### Problem description

I'm not sure if this is strictly a Pandas bug since it involves a Numpy function, but the infinite recursion goes through Pandas functions only so it seems like the only place it could be solved is within Pandas itself.

The end of the stack trace looks like this:

```
  File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\generic.py", line 1936, in __array_ufunc__
    return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs)
  File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\arraylike.py", line 358, in array_ufunc
    result = getattr(ufunc, method)(*inputs, **kwargs)
  File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\generic.py", line 1936, in __array_ufunc__
    return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs)
  File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\arraylike.py", line 358, in array_ufunc
    result = getattr(ufunc, method)(*inputs, **kwargs)
  File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\generic.py", line 1936, in __array_ufunc__
    return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs)
  File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\arraylike.py", line 357, in array_ufunc
    inputs = tuple(extract_array(x, extract_numpy=True) for x in inputs)
  File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\arraylike.py", line 357, in <genexpr>
    inputs = tuple(extract_array(x, extract_numpy=True) for x in inputs)
  File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\construction.py", line 396, in extract_array
    if isinstance(obj, (ABCIndexClass, ABCSeries)):
```

(This RecursionError actually manifested as a segfault in my application so was a bit of a pain to track down.)

#### Expected Output

The failing examples involving `Series` should evaluate to `pd.Series([1, 2])`

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

<details>
INSTALLED VERSIONS
------------------
commit           : 2cb96529396d93b46abab7bbc73a208e708c642e
python           : 3.8.10.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.18363
machine          : AMD64
processor        : Intel64 Family 6 Model 85 Stepping 7, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : English_United Kingdom.1252

pandas           : 1.2.4
numpy            : 1.20.2
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 21.1.1
setuptools       : 52.0.0.post20210125
Cython           : 0.29.23
pytest           : 6.2.3
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.6.3
html5lib         : 1.1
pymysql          : None
psycopg2         : None
jinja2           : 3.0.0
IPython          : 7.22.0
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : 1.3.2
fsspec           : 0.9.0
fastparquet      : None
gcsfs            : None
matplotlib       : 3.3.4
numexpr          : None
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : None
pyarrow          : 3.0.0
pyxlsb           : None
s3fs             : None
scipy            : 1.6.2
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : 0.18.0
xlrd             : 2.0.1
xlwt             : None
numba            : 0.53.0
</details>
