Paul Vaudrey
E761318
Paul Vaudrey was an architect best known for designing the Pont au Change bridge in Paris.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Paul Vaudrey canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8731066 — 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: Paul Vaudrey Context triple: [Pont au Change, designedBy, Paul Vaudrey]
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A.
Paul Meurice
Paul Meurice was a 19th-century French novelist and playwright, closely associated with Victor Hugo and known for his contributions to Romantic literature and theater.
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B.
Ian La Frenais
Ian La Frenais is a British screenwriter best known for co-creating classic TV comedies such as "Porridge" and "Auf Wiedersehen, Pet," and for his long-time writing partnership with Dick Clement.
-
C.
Pierre Orefice
Pierre Orefice is a French designer and cultural project director best known for co-creating the fantastical mechanical art attraction Les Machines de l’Île in Nantes.
-
D.
Charles LeMaire
Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
-
E.
Michel Bouvier
Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
- 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: Paul Vaudrey Target entity description: Paul Vaudrey was an architect best known for designing the Pont au Change bridge in Paris.
-
A.
Paul Meurice
Paul Meurice was a 19th-century French novelist and playwright, closely associated with Victor Hugo and known for his contributions to Romantic literature and theater.
-
B.
Ian La Frenais
Ian La Frenais is a British screenwriter best known for co-creating classic TV comedies such as "Porridge" and "Auf Wiedersehen, Pet," and for his long-time writing partnership with Dick Clement.
-
C.
Pierre Orefice
Pierre Orefice is a French designer and cultural project director best known for co-creating the fantastical mechanical art attraction Les Machines de l’Île in Nantes.
-
D.
Charles LeMaire
Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
-
E.
Michel Bouvier
Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
- F. None of above. chosen
Statements (9)
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: Paul Vaudrey Description of subject: Paul Vaudrey was an architect best known for designing the Pont au Change bridge in Paris.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.