Hannah John-Kamen
E327539
Hannah John-Kamen is a British actress known for roles in science fiction and fantasy projects, including her portrayal of Ghost in the Marvel film "Ant-Man and the Wasp."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hannah John-Kamen canonical | 12 |
How this entity was disambiguated
This entity first appeared as the object of triple T3112260 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah John-Kamen Context triple: [Ant-Man and the Wasp, stars, Hannah John-Kamen]
-
A.
Millicent Simmonds
Millicent Simmonds is a deaf American actress best known for her acclaimed performance in the horror film "A Quiet Place" and its sequel, where her authentic representation of deafness has been widely praised.
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B.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
C.
Alexandra Astin
Alexandra Astin is an American actress and the daughter of actor Sean Astin, known for her small role in "The Lord of the Rings: The Return of the King."
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D.
Karen Gillan
Karen Gillan is a Scottish actress and filmmaker best known for her roles as Nebula in the Marvel Cinematic Universe and Amy Pond in the television series Doctor Who.
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E.
Natalia Dyer
Natalia Dyer is an American actress best known for her role as Nancy Wheeler in the Netflix science fiction-horror series "Stranger Things."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hannah John-Kamen Target entity description: Hannah John-Kamen is a British actress known for roles in science fiction and fantasy projects, including her portrayal of Ghost in the Marvel film "Ant-Man and the Wasp."
-
A.
Millicent Simmonds
Millicent Simmonds is a deaf American actress best known for her acclaimed performance in the horror film "A Quiet Place" and its sequel, where her authentic representation of deafness has been widely praised.
-
B.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
C.
Alexandra Astin
Alexandra Astin is an American actress and the daughter of actor Sean Astin, known for her small role in "The Lord of the Rings: The Return of the King."
-
D.
Karen Gillan
Karen Gillan is a Scottish actress and filmmaker best known for her roles as Nebula in the Marvel Cinematic Universe and Amy Pond in the television series Doctor Who.
-
E.
Natalia Dyer
Natalia Dyer is an American actress best known for her role as Nancy Wheeler in the Netflix science fiction-horror series "Stranger Things."
- F. None of above. chosen
Statements (51)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Hannah John-Kamen Description of subject: Hannah John-Kamen is a British actress known for roles in science fiction and fantasy projects, including her portrayal of Ghost in the Marvel film "Ant-Man and the Wasp."
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.