Comparing a Table to a DataFrame does not return a boolean

### Feature Summary

Comparing a Texera `Table` with a pandas `DataFrame` reduces equality over rows only and returns a per-column Series. Ordinary boolean use then raises an ambiguous-Series `ValueError`, despite `Table.__eq__` declaring a boolean return.

Before: Table equals DataFrame, then boolean use raises ValueError

After: Table equals DataFrame, then equality returns a Python boolean

Equality should return `True` or `False` so callers can use the result directly.

Reproduction evidence:

Construct a `Table` and an equal pandas `DataFrame`, compare them, and use the result as a boolean.

Observed result:

```text
result_type=Series
result={'x': True, 'y': True}
truth_error=ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
```

Version and commit evidence:

1.3.0-incubating-SNAPSHOT (main)

**Commit Hash (Optional)**

`70c21145887920528d7d5540e3fb790b43e8b759`

### Proposed Solution or Design

After: Table equals DataFrame, then equality returns a Python boolean

### Affected Area

Workflow Engine (Amber)