Vanessa Taylor
E195697
Vanessa Taylor is an American screenwriter and producer known for co-writing the Academy Award–winning film "The Shape of Water" and her work on television series such as "Game of Thrones."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Vanessa Taylor canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T1747540 — 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: Vanessa Taylor Context triple: [The Shape of Water, screenwriter, Vanessa Taylor]
-
A.
Vanessa Tolosa
Vanessa Tolosa is a biomedical engineer and neurotechnology researcher known for her work on implantable brain–computer interface devices and contributions to companies like Neuralink.
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B.
Vanessa Kay Haydon
Vanessa Kay Haydon is an American former model and actress best known as the ex-wife of Donald Trump Jr.
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C.
Vanessa
Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
-
D.
Lindsay Brunnock
Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
-
E.
Vanessa Palazzo
Vanessa Palazzo is an LGBT rights advocate known for being one of the plaintiffs challenging Tennessee’s same-sex marriage ban in the landmark case Tanco v. Haslam.
- 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: Vanessa Taylor Target entity description: Vanessa Taylor is an American screenwriter and producer known for co-writing the Academy Award–winning film "The Shape of Water" and her work on television series such as "Game of Thrones."
-
A.
Vanessa Tolosa
Vanessa Tolosa is a biomedical engineer and neurotechnology researcher known for her work on implantable brain–computer interface devices and contributions to companies like Neuralink.
-
B.
Vanessa Kay Haydon
Vanessa Kay Haydon is an American former model and actress best known as the ex-wife of Donald Trump Jr.
-
C.
Vanessa
Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
-
D.
Lindsay Brunnock
Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
-
E.
Vanessa Palazzo
Vanessa Palazzo is an LGBT rights advocate known for being one of the plaintiffs challenging Tennessee’s same-sex marriage ban in the landmark case Tanco v. Haslam.
- F. None of above. chosen
Statements (46)
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: Vanessa Taylor Description of subject: Vanessa Taylor is an American screenwriter and producer known for co-writing the Academy Award–winning film "The Shape of Water" and her work on television series such as "Game of Thrones."
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.