diff --git a/spacy/pipeline/sentencizer.pyx b/spacy/pipeline/sentencizer.pyx
index 346575160..6c2565170 100644
--- a/spacy/pipeline/sentencizer.pyx
+++ b/spacy/pipeline/sentencizer.pyx
@@ -56,6 +56,7 @@ class Sentencizer(Pipe):
 
         punct_chars (list): Punctuation characters to split on. Will be
             serialized with the nlp object.
+        overwrite (bool): Whether to overwrite existing annotations.
         scorer (Optional[Callable]): The scoring method. Defaults to
             Scorer.score_spans for the attribute "sents".
 
diff --git a/spacy/pipeline/senter.pyx b/spacy/pipeline/senter.pyx
index c5112235a..655382cdd 100644
--- a/spacy/pipeline/senter.pyx
+++ b/spacy/pipeline/senter.pyx
@@ -89,6 +89,7 @@ class SentenceRecognizer(Tagger):
         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.
+        overwrite (bool): Whether to overwrite existing annotations.
         scorer (Optional[Callable]): The scoring method. Defaults to
             Scorer.score_spans for the attribute "sents".
         save_activations (bool): save model activations in Doc when annotating.
diff --git a/spacy/pipeline/tagger.pyx b/spacy/pipeline/tagger.pyx
index e390f2e62..fe264ab68 100644
--- a/spacy/pipeline/tagger.pyx
+++ b/spacy/pipeline/tagger.pyx
@@ -105,6 +105,7 @@ class Tagger(TrainablePipe):
         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.
+        overwrite (bool): Whether to overwrite existing annotations.
         scorer (Optional[Callable]): The scoring method. Defaults to
             Scorer.score_token_attr for the attribute "tag".
         save_activations (bool): save model activations in Doc when annotating.