Regina Dalthy
E942072
Regina Dalthy was an actress known for her role in the 1935 French film "Princesse Tam-Tam."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Regina Dalthy canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11713464 — 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: Regina Dalthy Context triple: [Princesse Tam-Tam, castMember, Regina Dalthy]
-
A.
Regina Austin
Regina Austin is an American legal scholar known for her work on critical race theory, feminist legal theory, and the intersection of law with issues of race, gender, and social justice.
-
B.
Nina King
Nina King is an American college athletics administrator who serves as the athletic director at Duke University, overseeing the university’s sports programs.
-
C.
Rowena Miller
Rowena Miller is the wife of English actor Michael Kitchen, known for keeping a low public profile despite her husband's prominence in film and television.
-
D.
Regina Lasko
Regina Lasko is an American television production manager best known as the longtime partner and wife of late-night talk show host David Letterman.
-
E.
Thea Osborne
Thea Osborne is a member of the Osborne family and the sister of British Conservative politician and former Chancellor of the Exchequer George Osborne.
- 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: Regina Dalthy Target entity description: Regina Dalthy was an actress known for her role in the 1935 French film "Princesse Tam-Tam."
-
A.
Regina Austin
Regina Austin is an American legal scholar known for her work on critical race theory, feminist legal theory, and the intersection of law with issues of race, gender, and social justice.
-
B.
Nina King
Nina King is an American college athletics administrator who serves as the athletic director at Duke University, overseeing the university’s sports programs.
-
C.
Rowena Miller
Rowena Miller is the wife of English actor Michael Kitchen, known for keeping a low public profile despite her husband's prominence in film and television.
-
D.
Regina Lasko
Regina Lasko is an American television production manager best known as the longtime partner and wife of late-night talk show host David Letterman.
-
E.
Thea Osborne
Thea Osborne is a member of the Osborne family and the sister of British Conservative politician and former Chancellor of the Exchequer George Osborne.
- F. None of above. chosen
Statements (17)
| Predicate | Object |
|---|---|
| instanceOf |
French film
ⓘ
actress ⓘ film ⓘ person ⓘ |
| activeInPeriod | 1930s ⓘ |
| appearedIn | Princesse Tam-Tam NERFINISHED ⓘ |
| countryOfCitizenship | France ⓘ |
| countryOfOrigin | France ⓘ |
| genre |
drama film
ⓘ
drama film ⓘ |
| knownFor |
Princesse Tam-Tam
NERFINISHED
ⓘ
film acting ⓘ |
| languageOfWork | French ⓘ |
| notableWork | Princesse Tam-Tam NERFINISHED ⓘ |
| occupation | actress ⓘ |
| publicationDate | 1935 ⓘ |
| workedIn | French cinema ⓘ |
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: Regina Dalthy Description of subject: Regina Dalthy was an actress known for her role in the 1935 French film "Princesse Tam-Tam."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.