Marta Eggerth
E141654
Marta Eggerth was a Hungarian-born soprano and film actress renowned for her performances in operettas and musical films in Europe and Hollywood during the 1930s and 1940s.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Marta Eggerth canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1147771 — 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.
Target entity: Marta Eggerth Context triple: [For Me and My Gal, starring, Marta Eggerth]
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A.
Marta Cartabia
Marta Cartabia is an Italian jurist and academic who became the first female President of the Constitutional Court of Italy and later served as the country's Minister of Justice.
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B.
Natalina Garaventa
Natalina Garaventa was the Italian-born mother of American singer and actor Frank Sinatra, known for her strong personality and influence on his early life.
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C.
Esther Acebo
Esther Acebo is a Spanish actress and television presenter best known internationally for her role as Mónica Gaztambide (Stockholm) in the hit series "Money Heist."
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D.
Eugenia Brin
Eugenia Brin is the mother of Google co-founder Sergey Brin and a Jewish refugee from the Soviet Union who worked as a research scientist in the United States.
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E.
Angela Maria Pietrasanta
Angela Maria Pietrasanta was an 18th-century Corsican noblewoman best known as the grandmother of Napoleon Bonaparte through her daughter Letizia Ramolino.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Marta Eggerth Target entity description: Marta Eggerth was a Hungarian-born soprano and film actress renowned for her performances in operettas and musical films in Europe and Hollywood during the 1930s and 1940s.
-
A.
Marta Cartabia
Marta Cartabia is an Italian jurist and academic who became the first female President of the Constitutional Court of Italy and later served as the country's Minister of Justice.
-
B.
Natalina Garaventa
Natalina Garaventa was the Italian-born mother of American singer and actor Frank Sinatra, known for her strong personality and influence on his early life.
-
C.
Esther Acebo
Esther Acebo is a Spanish actress and television presenter best known internationally for her role as Mónica Gaztambide (Stockholm) in the hit series "Money Heist."
-
D.
Eugenia Brin
Eugenia Brin is the mother of Google co-founder Sergey Brin and a Jewish refugee from the Soviet Union who worked as a research scientist in the United States.
-
E.
Angela Maria Pietrasanta
Angela Maria Pietrasanta was an 18th-century Corsican noblewoman best known as the grandmother of Napoleon Bonaparte through her daughter Letizia Ramolino.
- 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.
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.
Subject: Marta Eggerth Description of subject: Marta Eggerth was a Hungarian-born soprano and film actress renowned for her performances in operettas and musical films in Europe and Hollywood during the 1930s and 1940s.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.