Úrsula Corberó
E116957
Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
All labels observed (2)
| Label | Occurrences |
|---|---|
| Úrsula Corberó canonical | 3 |
| Úrsula Corberó Delgado | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T970336 — 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: Úrsula Corberó Context triple: [Money Heist, castMember, Úrsula Corberó]
-
A.
Marisa del Toro
Marisa del Toro is one of the children of acclaimed Mexican filmmaker Guillermo del Toro.
-
B.
Carmen Ejogo
Carmen Ejogo is a British actress and singer known for her versatile film and television roles, including her acclaimed portrayal of Coretta Scott King in the historical drama "Selma."
-
C.
Cailee Spaeny
Cailee Spaeny is an American actress known for her breakout role in the science fiction film "Pacific Rim: Uprising" and subsequent performances in both film and television.
-
D.
Robin Ruzan
Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
-
E.
Maggie Siff
Maggie Siff is an American actress best known for her television roles in series such as Mad Men, Sons of Anarchy, and Billions.
- 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: Úrsula Corberó Target entity description: Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
-
A.
Marisa del Toro
Marisa del Toro is one of the children of acclaimed Mexican filmmaker Guillermo del Toro.
-
B.
Carmen Ejogo
Carmen Ejogo is a British actress and singer known for her versatile film and television roles, including her acclaimed portrayal of Coretta Scott King in the historical drama "Selma."
-
C.
Cailee Spaeny
Cailee Spaeny is an American actress known for her breakout role in the science fiction film "Pacific Rim: Uprising" and subsequent performances in both film and television.
-
D.
Robin Ruzan
Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
-
E.
Maggie Siff
Maggie Siff is an American actress best known for her television roles in series such as Mad Men, Sons of Anarchy, and Billions.
- 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: Úrsula Corberó Description of subject: Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Úrsula Corberó Delgado