Kirsten Elms
E555490
Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kirsten Elms canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T5532813 — 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: Kirsten Elms Context triple: [Texas Chainsaw 3D, screenwriter, Kirsten Elms]
-
A.
Kirsten Corley
Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
-
B.
Kirsten Downey
Kirsten Downey is an American journalist and biographer known for her work at The Washington Post and for writing acclaimed historical biographies such as "The Woman Behind the New Deal."
-
C.
Joanna Kerns
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
-
D.
Kirsten Mehr
Kirsten Mehr is the German-born wife of British politician and former UKIP leader Nigel Farage.
-
E.
Kristen Maloney
Kristen Maloney is an American artistic gymnast and Olympic medalist who competed for the U.S. national team and later starred as a collegiate gymnast for UCLA.
- 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: Kirsten Elms Target entity description: Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
-
A.
Kirsten Corley
Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
-
B.
Kirsten Downey
Kirsten Downey is an American journalist and biographer known for her work at The Washington Post and for writing acclaimed historical biographies such as "The Woman Behind the New Deal."
-
C.
Joanna Kerns
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
-
D.
Kirsten Mehr
Kirsten Mehr is the German-born wife of British politician and former UKIP leader Nigel Farage.
-
E.
Kristen Maloney
Kristen Maloney is an American artistic gymnast and Olympic medalist who competed for the U.S. national team and later starred as a collegiate gymnast for UCLA.
- F. None of above. chosen
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf |
film
ⓘ
person ⓘ screenwriter ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| countryOfWork |
United States
ⓘ
linked to:
United States of America
|
| genre | horror film ⓘ |
| notableWork | Texas Chainsaw 3D ⓘ |
| occupation | screenwriter ⓘ |
| writer | Kirsten Elms ⓘ |
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: Kirsten Elms Description of subject: Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.