Training Multiple entities at the Same time?

Sure! During annotation, you can always speficy one or more labels via the --label argument – for example, --label PERSON,ORG. We usually recommend focusing on a smaller label set per session and running smaller experiments during development – but once you’re ready to train your final model for production, you should ideally merge your data and include all the labels you’ve annotated, so the model can learn them all at the same time.