diff --git a/spacy/kb/candidate.pyx b/spacy/kb/candidate.pyx
index 5ad52618a..613b70483 100644
--- a/spacy/kb/candidate.pyx
+++ b/spacy/kb/candidate.pyx
@@ -1,6 +1,6 @@
 # cython: infer_types=True, profile=True
 
-from typing import Iterable, Generator
+from typing import Iterable, Generator, Iterator
 from .kb cimport KnowledgeBase
 from ..tokens import Span
 
@@ -66,7 +66,7 @@ def get_candidates(kb: KnowledgeBase, mention: Span) -> Iterable[Candidate]:
 
 def get_candidates_all(
     kb: KnowledgeBase, mentions: Generator[Iterable[Span], None, None]
-) -> Generator[Iterable[Iterable[Candidate]], None, None]:
+) -> Iterator[Iterable[Iterable[Candidate]]]:
     """
     Return candidate entities for the given mentions and fetching appropriate entries from the index.
     kb (KnowledgeBase): Knowledge base to query.
diff --git a/spacy/ml/models/entity_linker.py b/spacy/ml/models/entity_linker.py
index 455bcc3b1..4045a3206 100644
--- a/spacy/ml/models/entity_linker.py
+++ b/spacy/ml/models/entity_linker.py
@@ -1,5 +1,5 @@
 from pathlib import Path
-from typing import Optional, Callable, Iterable, List, Tuple, Generator
+from typing import Optional, Callable, Iterable, List, Tuple, Generator, Iterator
 from thinc.types import Floats2d
 from thinc.api import chain, list2ragged, reduce_mean, residual
 from thinc.api import Model, Maxout, Linear, tuplify, Ragged
@@ -108,6 +108,6 @@ def create_candidates() -> Callable[[KnowledgeBase, Span], Iterable[Candidate]]:
 @registry.misc("spacy.CandidateAllGenerator.v1")
 def create_candidates_all() -> Callable[
     [KnowledgeBase, Generator[Iterable[Span], None, None]],
-    Generator[Iterable[Iterable[Candidate]], None, None],
+    Iterator[Iterable[Iterable[Candidate]]],
 ]:
     return get_candidates_all
diff --git a/spacy/pipeline/entity_linker.py b/spacy/pipeline/entity_linker.py
index eb546b3a0..439c3af59 100644
--- a/spacy/pipeline/entity_linker.py
+++ b/spacy/pipeline/entity_linker.py
@@ -1,4 +1,14 @@
-from typing import Optional, Iterable, Callable, Dict, Union, List, Any, Generator
+from typing import (
+    Optional,
+    Iterable,
+    Callable,
+    Dict,
+    Union,
+    List,
+    Any,
+    Generator,
+    Iterator,
+)
 from thinc.types import Floats2d
 from pathlib import Path
 from itertools import islice
@@ -79,7 +89,7 @@ def make_entity_linker(
     get_candidates: Callable[[KnowledgeBase, Span], Iterable[Candidate]],
     get_candidates_all: Callable[
         [KnowledgeBase, Generator[Iterable[Span], None, None]],
-        Generator[Iterable[Iterable[Candidate]], None, None],
+        Iterator[Iterable[Iterable[Candidate]]],
     ],
     overwrite: bool,
     scorer: Optional[Callable],
@@ -102,7 +112,7 @@ def make_entity_linker(
     get_candidates_all (
         Callable[
             [KnowledgeBase, Generator[Iterable[Span], None, None]],
-            Generator[Iterable[Iterable[Candidate]], None, None]
+            Iterator[Iterable[Iterable[Candidate]]]
         ]): Function that produces a list of candidates per document, given a certain knowledge base and several textual
         documents with textual mentions.
     scorer (Optional[Callable]): The scoring method.
@@ -180,7 +190,7 @@ class EntityLinker(TrainablePipe):
         get_candidates: Callable[[KnowledgeBase, Span], Iterable[Candidate]],
         get_candidates_all: Callable[
             [KnowledgeBase, Generator[Iterable[Span], None, None]],
-            Generator[Iterable[Iterable[Candidate]], None, None],
+            Iterator[Iterable[Iterable[Candidate]]],
         ],
         overwrite: bool = BACKWARD_OVERWRITE,
         scorer: Optional[Callable] = entity_linker_score,
@@ -204,7 +214,7 @@ class EntityLinker(TrainablePipe):
         get_candidates_all (
             Callable[
                 [KnowledgeBase, Generator[Iterable[Span], None, None]],
-                Generator[Iterable[Iterable[Candidate]], None, None]
+                Iterator[Iterable[Iterable[Candidate]]]
             ]): Function that produces a list of candidates per document, given a certain knowledge base and several textual
             documents with textual mentions.
         scorer (Optional[Callable]): The scoring method. Defaults to Scorer.score_links.
diff --git a/spacy/tests/pipeline/test_entity_linker.py b/spacy/tests/pipeline/test_entity_linker.py
index 877a4c5ce..86956c2cc 100644
--- a/spacy/tests/pipeline/test_entity_linker.py
+++ b/spacy/tests/pipeline/test_entity_linker.py
@@ -1,4 +1,4 @@
-from typing import Callable, Iterable, Dict, Any, Generator
+from typing import Callable, Iterable, Dict, Any, Generator, Iterator
 
 import pytest
 from numpy.testing import assert_equal
@@ -515,7 +515,7 @@ def test_el_pipe_configuration(nlp):
     @registry.misc("spacy.LowercaseCandidateAllGenerator.v1")
     def create_candidates_batch() -> Callable[
         [InMemoryLookupKB, Generator[Iterable["Span"], None, None]],
-        Generator[Iterable[Iterable[Candidate]], None, None],
+        Iterator[Iterable[Iterable[Candidate]]],
     ]:
         return get_lowercased_candidates_all