Re-visit nlp module

[selBaez]

"One utterance to many triples"

Currently, the triples generated contain entities extracted as "lenka-sister" (eg. lenka-sister_is-from_serbia), which might need to be broken down into triples themselves (lenka_has-sister_x and x_is-from_serbia)

This can be noted through the litst of types extracted. Usually when the list of types for a single entity contains certain combinations (eg. adjective and noun)

pepper/pepper/brain/infrastructure/rdf_builder.py

Line 147 in e40435d

# TODO here we know if two types are different category (aka noun and verb) we might need to split the triple