diff --git a/spacy/ml/models/entity_linker.py b/spacy/ml/models/entity_linker.py
index dc2009059..389add21a 100644
--- a/spacy/ml/models/entity_linker.py
+++ b/spacy/ml/models/entity_linker.py
@@ -138,7 +138,9 @@ def get_candidates(kb: KnowledgeBase, mention: Span) -> Iterable[Candidate]:
     mention (Span): Entity mention.
     RETURNS (Iterable[Candidate]): Identified candidates for specified mention.
     """
-    return next(next(get_candidates_v2(kb, iter([SpanGroup(mention.doc, spans=[mention])])))[0])
+    return next(
+        next(get_candidates_v2(kb, iter([SpanGroup(mention.doc, spans=[mention])])))[0]
+    )
 
 
 def get_candidates_v2(
diff --git a/spacy/tests/pipeline/test_entity_linker.py b/spacy/tests/pipeline/test_entity_linker.py
index 955bae922..f6f6f6fd0 100644
--- a/spacy/tests/pipeline/test_entity_linker.py
+++ b/spacy/tests/pipeline/test_entity_linker.py
@@ -453,10 +453,13 @@ def test_candidate_generation(nlp):
     mykb.add_alias(alias="adam", entities=["Q2"], probabilities=[0.9])
 
     # test the size of the relevant candidates
-    adam_ent_cands = next(get_candidates_v2(mykb, SpanGroup(doc=doc, spans=[adam_ent])))[0]
+    adam_ent_cands = next(
+        get_candidates_v2(mykb, SpanGroup(doc=doc, spans=[adam_ent]))
+    )[0]
     assert len(adam_ent_cands) == 1
     assert (
-        len(next(get_candidates_v2(mykb, SpanGroup(doc=doc, spans=[douglas_ent])))[0]) == 2
+        len(next(get_candidates_v2(mykb, SpanGroup(doc=doc, spans=[douglas_ent])))[0])
+        == 2
     )
     assert (
         len(next(get_candidates_v2(mykb, SpanGroup(doc=doc, spans=[Adam_ent])))[0]) == 0