diff --git a/spacy/kb/candidate.pyx b/spacy/kb/candidate.pyx
index 6707d32ed..94445f27d 100644
--- a/spacy/kb/candidate.pyx
+++ b/spacy/kb/candidate.pyx
@@ -49,7 +49,7 @@ cdef class InMemoryCandidate(Candidate):
         self,
         kb: InMemoryLookupKB,
         entity_hash: int,
-        mention_hash: int,
+        alias_hash: int,
         entity_vector: vector[float],
         prior_prob: float,
         entity_freq: float
@@ -59,9 +59,9 @@ cdef class InMemoryCandidate(Candidate):
         entity_id (int): Entity ID as hash that can be looked up with InMemoryKB.vocab.strings.__getitem__().
         entity_freq (int): Entity frequency in KB corpus.
         entity_vector (List[float]): Entity embedding.
-        mention_hash (int): Mention hash.
-        prior_prob (float): Prior probability of entity for this mention. I. e. the probability that, independent of
-            the context, this mention - which matches one of this entity's aliases - resolves to one this entity.
+        alias_hash (int): Alias hash.
+        prior_prob (float): Prior probability of entity for this alias. I. e. the probability that, independent of
+            the context, this alias - which matches one of this entity's aliases - resolves to one this entity.
         """
         super().__init__()
 
@@ -69,7 +69,7 @@ cdef class InMemoryCandidate(Candidate):
         self._entity_vector = entity_vector
         self._prior_prob = prior_prob
         self._kb = kb
-        self._mention = mention_hash
+        self._mention = alias_hash
         self._entity_freq = entity_freq
 
     @property
@@ -82,7 +82,7 @@ cdef class InMemoryCandidate(Candidate):
 
     @property
     def prior_prob(self) -> float:
-        """RETURNS (float): Prior probability that this mention, which matches one of this entity's aliases, resolves to
+        """RETURNS (float): Prior probability that this alias, which matches one of this entity's synonyms, resolves to
         this entity."""
         return self._prior_prob
 
diff --git a/spacy/kb/kb_in_memory.pyx b/spacy/kb/kb_in_memory.pyx
index e3b9dfcb3..c9ced8309 100644
--- a/spacy/kb/kb_in_memory.pyx
+++ b/spacy/kb/kb_in_memory.pyx
@@ -245,7 +245,7 @@ cdef class InMemoryLookupKB(KnowledgeBase):
             InMemoryCandidate(
                 kb=self,
                 entity_hash=self._entries[entry_index].entity_hash,
-                mention_hash=alias_hash,
+                alias_hash=alias_hash,
                 entity_vector=self._vectors_table[self._entries[entry_index].vector_index],
                 prior_prob=prior_prob,
                 entity_freq=self._entries[entry_index].freq
diff --git a/website/docs/api/kb.mdx b/website/docs/api/kb.mdx
index e3b699140..9536a3fe3 100644
--- a/website/docs/api/kb.mdx
+++ b/website/docs/api/kb.mdx
@@ -175,11 +175,11 @@ Restore the state of the knowledge base from a given directory. Note that the
 
 ## InMemoryCandidate {id="candidate",tag="class"}
 
-An `InMemoryCandidate` object refers to a textual mention (alias) that may or may
-not be resolved to a specific entity from a `KnowledgeBase`. This will be used
-as input for the entity linking algorithm which will disambiguate the various
-candidates to the correct one. Each candidate `(alias, entity)` pair is assigned
-to a certain prior probability.
+An `InMemoryCandidate` object refers to a textual mention (alias) that may or
+may not be resolved to a specific entity from a `KnowledgeBase`. This will be
+used as input for the entity linking algorithm which will disambiguate the
+various candidates to the correct one. Each candidate `(alias, entity)` pair is
+assigned to a certain prior probability.
 
 ### InMemoryCandidate.\_\_init\_\_ {id="candidate-init",tag="method"}
 
@@ -190,19 +190,19 @@ of the [`entity_linker`](/api/entitylinker) pipe.
 > #### Example```python
 >
 > from spacy.kb import InMemoryCandidate candidate = InMemoryCandidate(kb,
-> entity_hash, entity_freq, entity_vector, mention_hash, prior_prob)
+> entity_hash, entity_freq, entity_vector, alias_hash, prior_prob)
 >
 > ```
 >
 > ```
 
-| Name           | Description                                                               |
-| -------------- | ------------------------------------------------------------------------- |
-| `kb`           | The knowledge base that defined this candidate. ~~KnowledgeBase~~         |
-| `entity_hash`  | The hash of the entity's KB ID. ~~int~~                                   |
-| `entity_freq`  | The entity frequency as recorded in the KB. ~~float~~                     |
-| `mention_hash` | The hash of the textual mention. ~~int~~                                  |
-| `prior_prob`   | The prior probability of the `alias` referring to the `entity`. ~~float~~ |
+| Name          | Description                                                               |
+| ------------- | ------------------------------------------------------------------------- |
+| `kb`          | The knowledge base that defined this candidate. ~~KnowledgeBase~~         |
+| `entity_hash` | The hash of the entity's KB ID. ~~int~~                                   |
+| `entity_freq` | The entity frequency as recorded in the KB. ~~float~~                     |
+| `alias_hash`  | The hash of the entity alias. ~~int~~                                     |
+| `prior_prob`  | The prior probability of the `alias` referring to the `entity`. ~~float~~ |
 
 ## InMemoryCandidate attributes {id="candidate-attributes"}