Simplify ent.sents handling.

spacy/pipeline/entity_linker.py

@@ -476,26 +476,7 @@ def predict(self, docs: Iterable[Doc]) -> List[str]:
  for j, ent in enumerate(ent_batch):
  assert hasattr(ent, "sents")
  sents = list(ent.sents)
- # Note: the last sentence associated with an sentence-crossing entity isn't complete. E. g. if you
- # have "Mahler's Symphony No. 8 was beautiful", the entity being "No. 8", ent.sents would be:
- # 1. "Mahler's Symphony No."
- # 2. "8"
- # whereas doc.sents would be:
- # 1. "Mahler's Symphony No."
- # 2. "8 was beautiful"
- # This makes it tricky to receive the last sentence by indexing doc.sents - hence we use an offset
- # to determine sent_indices[1].
- sent_indices = (
- (
- sentences.index(sents[0]),
- sentences.index(sents[0]) + len(sents) - 1,
- )
- if len(sents) > 1
- else (
- sentences.index(ent.sent),
- sentences.index(ent.sent),
- )
- )
+ sent_indices = (sentences.index(sents[0]), sentences.index(sents[-1]))
  assert all([si >= 0 for si in sent_indices])
 
  if self.incl_context: