diff --git a/spacy/kb/kb_in_memory.pyx b/spacy/kb/kb_in_memory.pyx
index b93fa5a4d..8a444d6e7 100644
--- a/spacy/kb/kb_in_memory.pyx
+++ b/spacy/kb/kb_in_memory.pyx
@@ -228,7 +228,7 @@ cdef class InMemoryLookupKB(KnowledgeBase):
 
     def get_candidates(self, mentions: Iterator[SpanGroup]) -> Iterator[Iterable[Iterable[InMemoryCandidate]]]:
         for mentions_for_doc in mentions:
-            yield [self.get_alias_candidates(ent_span.text) for ent_span in mentions_for_doc]
+            yield [self._get_alias_candidates(ent_span.text) for ent_span in mentions_for_doc]
 
     def _get_alias_candidates(self, str alias) -> Iterable[InMemoryCandidate]:
         """
diff --git a/spacy/pipeline/entity_linker.py b/spacy/pipeline/entity_linker.py
index e8ea9eb94..77c1017b5 100644
--- a/spacy/pipeline/entity_linker.py
+++ b/spacy/pipeline/entity_linker.py
@@ -521,12 +521,12 @@ class EntityLinker(TrainablePipe):
                         )
                     elif len(candidates) == 1 and self.threshold is None:
                         # shortcut for efficiency reasons: take the 1 candidate
-                        final_kb_ids.append(candidates[0].entity_)
+                        final_kb_ids.append(candidates[0].entity_id_)
                         self._add_activations(
                             doc_scores=doc_scores,
                             doc_ents=doc_ents,
                             scores=[1.0],
-                            ents=[candidates[0].entity],
+                            ents=[candidates[0].entity_id],
                         )
                     else:
                         random.shuffle(candidates)
@@ -558,7 +558,7 @@ class EntityLinker(TrainablePipe):
                                 raise ValueError(Errors.E161)
                             scores = prior_probs + sims - (prior_probs * sims)
                         final_kb_ids.append(
-                            candidates[scores.argmax().item()].entity_
+                            candidates[scores.argmax().item()].entity_id_
                             if self.threshold is None or scores.max() >= self.threshold
                             else EntityLinker.NIL
                         )
@@ -566,7 +566,7 @@ class EntityLinker(TrainablePipe):
                             doc_scores=doc_scores,
                             doc_ents=doc_ents,
                             scores=scores,
-                            ents=[c.entity for c in candidates],
+                            ents=[c.entity_id for c in candidates],
                         )
 
             self._add_doc_activations(
diff --git a/spacy/tests/pipeline/test_entity_linker.py b/spacy/tests/pipeline/test_entity_linker.py
index 406bfc841..fbbe8d16f 100644
--- a/spacy/tests/pipeline/test_entity_linker.py
+++ b/spacy/tests/pipeline/test_entity_linker.py
@@ -512,7 +512,7 @@ def test_el_pipe_configuration(nlp):
     def get_lowercased_candidates(kb: InMemoryLookupKB, mentions: Iterator[SpanGroup]):
         for mentions_for_doc in mentions:
             yield [
-                kb.get_alias_candidates(ent_span.text.lower())
+                kb._get_alias_candidates(ent_span.text.lower())
                 for ent_span in mentions_for_doc
             ]
 
diff --git a/website/docs/usage/v3.mdx b/website/docs/usage/v3.mdx
index 7e7548d6a..df0724bba 100644
--- a/website/docs/usage/v3.mdx
+++ b/website/docs/usage/v3.mdx
@@ -594,7 +594,6 @@ Note that spaCy v3.0 now requires **Python 3.6+**.
 | `GoldParse`                                                                                  | [`Example`](/api/example)                                                                                                                                                                                                |
 | `GoldCorpus`                                                                                 | [`Corpus`](/api/corpus)                                                                                                                                                                                                  |
 | `KnowledgeBase.load_bulk`, `KnowledgeBase.dump`                                              | [`KnowledgeBase.from_disk`](/api/kb#from_disk), [`KnowledgeBase.to_disk`](/api/kb#to_disk)                                                                                                                               |
-| `KnowledgeBase.get_candidates`                                                               | [`KnowledgeBase.get_alias_candidates`](/api/kb#get_alias_candidates)                                                                                                                                                     |
 | `Matcher.pipe`, `PhraseMatcher.pipe`                                                         | not needed                                                                                                                                                                                                               |
 | `gold.offsets_from_biluo_tags`, `gold.spans_from_biluo_tags`, `gold.biluo_tags_from_offsets` | [`training.biluo_tags_to_offsets`](/api/top-level#biluo_tags_to_offsets), [`training.biluo_tags_to_spans`](/api/top-level#biluo_tags_to_spans), [`training.offsets_to_biluo_tags`](/api/top-level#offsets_to_biluo_tags) |
 | `spacy init-model`                                                                           | [`spacy init vectors`](/api/cli#init-vectors)                                                                                                                                                                            |