diff --git a/spacy/pipeline/spancat.py b/spacy/pipeline/spancat.py
index d6e887218..189c5ae41 100644
--- a/spacy/pipeline/spancat.py
+++ b/spacy/pipeline/spancat.py
@@ -155,6 +155,8 @@ def make_spancat(
     parts: a suggester function that proposes candidate spans, and a labeller
     model that predicts one or more labels for each span.
 
+    name (str): The component instance name, used to add entries to the
+        losses during training.
     suggester (Callable[[Iterable[Doc], Optional[Ops]], Ragged]): A function that suggests spans.
         Spans are returned as a ragged array with two integer columns, for the
         start and end positions.
@@ -218,6 +220,8 @@ def make_spancat_singlelabel(
     parts: a suggester function that proposes candidate spans, and a labeller
     model that predicts one or more labels for each span.
 
+    name (str): The component instance name, used to add entries to the
+        losses during training.
     suggester (Callable[[Iterable[Doc], Optional[Ops]], Ragged]): A function that suggests spans.
         Spans are returned as a ragged array with two integer columns, for the
         start and end positions.
@@ -271,7 +275,7 @@ def make_spancat_scorer():
 
 
 @dataclass
-class Intervals:
+class _Intervals:
     """
     Helper class to avoid storing overlapping spans.
     """
@@ -729,7 +733,7 @@ class SpanCategorizer(TrainablePipe):
             predicted = predicted[sort_idx]
             indices = indices[sort_idx]
             keeps = keeps[sort_idx]
-        seen = Intervals()
+        seen = _Intervals()
         spans = SpanGroup(doc, name=self.key)
         attrs_scores = []
         for i in range(indices.shape[0]):