When to reject in ner.manual or ner.make-gold?

[MaxG87 (Max Görner)]

I think I found the answer while looking for something else. In this answer @honnibal brings it right to the point:

Annotation strategy for gold-standard data

Hi Frederik, The --label k1,k2 argument tells Prodigy to only suggest entities that have been assigned those labels. These labels are not in the de_core_news_sm pre-trained model you’re using, and the make-gold recipe doesn’t update the model. This means no entities will ever be suggested by the model. We should add a warning (or possibly error) if you specify labels not in the model during make-gold. We have similar warnings for most other recipes, as it’s an easy mistake to make, especially …

To save others the click: One should only accept. Rejection is a way to mark serious trouble like wrong tokenizations.