[Python] pyarrow.compute.subtract_checked overflowing for some duration arrays constructed from numpy

### Describe the bug, including details regarding any error messages, version, and platform.

In the example below, `arr2` and `arr3` are duration arrays with a single null element.

`arr2` is constructed from a list
`arr3` is constructed from a numpy array

Once constructed, they evaluate to being equal.

However, they exhibit different behavior once passed to `pyarrow.compute.subtract_checked`:

```
import pyarrow as pa
import pyarrow.compute as pc
import numpy as np

data1 = [86400000000]
data2 = [None]
data3 = np.array([None], dtype="timedelta64[ns]")

arr1 = pa.array(data1, type=pa.duration("ns"))
arr2 = pa.array(data2, type=pa.duration("ns"))
arr3 = pa.array(data3, type=pa.duration("ns"))

assert arr2 == arr3

pc.subtract_checked(arr1, arr2) # ok
pc.subtract_checked(arr1, arr3) # ArrowInvalid: overflow
```

### Component(s)

Python

Start by running the supplied Python reproducer and inspect the pyarrow.compute.subtract_checked entry point, comparing arrays built from the list and NumPy inputs. Done means the equivalent duration arrays no longer produce different results, and the subtraction no longer raises overflow for the NumPy-constructed array.

Written by the indexing model from the issue text.