* Add `reason` property to `TagLabel`
This is to understand what score was used for selecting the entity
* Build `TagLabel`s with `reason`
* Increase `PIIProcessor._tolerance`
This is so we correctly filter out low scores from classifiers while still maintaining the normalization that filters out confusing outcomes.
e.g: an output with scores 0.3, 0.7 and 0.75, would initially filter the 0.3 and then discard the other two because they're both relatively high results.
* Make database and DAO changes needed to persist `TagLabel.reason`
* Update generated TypeScript types
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