          vocab (Vocab): The shared vocabulary.
          model (thinc.api.Model): The Thinc Model powering the pipeline component.
          name (str): The component instance name, used to add entries to the
              losses during training.
          kb_loader (Callable[[Vocab], KnowledgeBase]): A function that creates a KnowledgeBase from a Vocab instance.
          labels_discard (Iterable[str]): NER labels that will automatically get a "NIL" prediction.
          incl_prior (bool): Whether or not to include prior probabilities from the KB in the model.
          incl_context (bool): Whether or not to include the local context in the model.
  
          DOCS: https://nightly.spacy.io/api/entitylinker#init
 
</s> remove     kb (KnowledgeBase): The knowledge-base to link entities to.
 </s> add 
          vocab (Vocab): The shared vocabulary.
          model (thinc.api.Model): The Thinc Model powering the pipeline component.
          name (str): The component instance name, used to add entries to the
              losses during training.

          labels_discard (Iterable[str]): NER labels that will automatically get a "NIL" prediction.
          incl_prior (bool): Whether or not to include prior probabilities from the KB in the model.
          incl_context (bool): Whether or not to include the local context in the model.
  
          DOCS: https://nightly.spacy.io/api/entitylinker#init
keep keep keep keep replace keep keep keep keep keep
 move kb_loader to initialize for NEL instead of constructor 
spacy/pipeline/entity_linker.py