Can we combine all these models to come up with one single model on Spark NLP for Healthcare?

[JustHeroo]

We have different models like:
1-Clinical RE(relation Extraction)
2-Human Phenotype - Gene RE
3-Drug-Drug interaction RE
4-Chemical Compounds - Protein (ChemPort RE)
5-Chemical Compounds - Gene/Protein RE
Can we combine all these models to come up with one single model,

[JustHeroo]

It is a bad practice to combine multiple annotations in a single dataset & model as the dataset for model-x might have some relations for model-b but not annotated as usual. But we can create a big pipeline and will get all the results.