BUG: Creating a MultiIndex using pd.Index and the name argument is now broken (worked in 1.2.5 with names)
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

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


### Reproducible Example

```python
In [1]: import pandas as pd

In [2]: pd.__version__
Out[2]: '1.4.0.dev0+905.gdace93d694'

In [3]: pd.Index([(1,0), (1,1)], names=["foo", "bar"])
<ipython-input-3-99fe0b033485>:1: FutureWarning: Passing keywords other than 'data', 'dtype', 'copy', 'name', 'tupleize_cols' is deprecated and will raise TypeError in a future version.  Use the specific Index subclass directly instead.
  pd.Index([(1,0), (1,1)], names=["foo", "bar"])
Out[3]:
MultiIndex([(1, 0),
            (1, 1)],
           names=['foo', 'bar'])

In [4]: pd.Index([(1,0), (1,1)], name=["foo", "bar"])
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-4-138c3fe61553> in <module>
----> 1 pd.Index([(1,0), (1,1)], name=["foo", "bar"])

c:\Code\pandas_dev\pandas\pandas\core\indexes\base.py in __new__(cls, data, dtype, copy, name, tupleize_cols, **kwargs)
    403         from pandas.core.indexes.range import RangeIndex
    404
--> 405         name = maybe_extract_name(name, data, cls)
    406
    407         if dtype is not None:

c:\Code\pandas_dev\pandas\pandas\core\indexes\base.py in maybe_extract_name(name, obj, cls)
   6876     # GH#29069
   6877     if not is_hashable(name):
-> 6878         raise TypeError(f"{cls.__name__}.name must be a hashable type")
   6879
   6880     return name

TypeError: Index.name must be a hashable type
```


### Issue Description

In pandas 1.2.5, you could create a `MultiIndex` using `pd.Index` with the `names` argument:
```python
In [1]: import pandas as pd

In [2]: pd.__version__
Out[2]: '1.2.5'

In [3]: pd.Index([(1,0), (1,1)], names=["foo", "bar"])
Out[3]:
MultiIndex([(1, 0),
            (1, 1)],
           names=['foo', 'bar'])
```
With `names` being removed as an argument in the future, the user then has to be explicit about using the `pd.MultiIndex()` constructor.

See discussion with @jreback starting here:  https://github.com/pandas-dev/pandas/pull/35292#discussion_r730277198

### Expected Behavior

Unclear.  Should we accept `names` in `pd.Index()` ?  Because you can create a `MultiIndex` without names via
```python
In [5]: pd.Index([(1,0), (1,1)])
Out[5]:
MultiIndex([(1, 0),
            (1, 1)],
           )
```


### Installed Versions

<details>

INSTALLED VERSIONS
------------------
commit           : dace93d694757069c69983d5ce5a2df3f4e1df3a
python           : 3.8.6.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.19041
machine          : AMD64
processor        : Intel64 Family 6 Model 158 Stepping 13, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : English_United States.1252

pandas           : 1.4.0.dev0+905.gdace93d694
numpy            : 1.21.2
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 21.2.4
setuptools       : 49.6.0.post20210108
Cython           : 0.29.24
pytest           : 6.2.5
hypothesis       : 6.19.0
sphinx           : 4.1.2
blosc            : None
feather          : None
xlsxwriter       : 3.0.1
lxml.etree       : 4.6.3
html5lib         : 1.1
pymysql          : None
psycopg2         : None
jinja2           : 3.0.1
IPython          : 7.27.0
pandas_datareader: None
bs4              : 4.10.0
bottleneck       : 1.3.2
fsspec           : 2021.05.0
fastparquet      : 0.7.1
gcsfs            : 2021.05.0
matplotlib       : 3.4.2
numexpr          : 2.7.3
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : None
pyarrow          : 4.0.0
pyxlsb           : 1.0.6
s3fs             : 2021.05.0
scipy            : 1.7.1
sqlalchemy       : 1.4.23
tables           : 3.6.1
tabulate         : 0.8.9
xarray           : 0.18.2
xlrd             : 2.0.1
xlwt             : 1.3.0
numba            : 0.53.1
</details>
