In Amazon Comprehend's custom entity recognition, what is the primary distinction between providing data through "annotations" and "entity lists"?

Annotations involve extensive machine learning training, while entity lists rely on predefined entity dictionaries.

Annotations require a separate custom entity recognizer model, whereas entity lists work with a single model.

Annotations focus on entity context and specific entities, while entity lists provide a broader entity context.

Annotations are used for custom entity recognition, while entity lists are used for sentiment analysis.