Emma Berman
E294936
Emma Berman is an American voice actress best known for voicing Giulia Marcovaldo in Pixar's animated film "Luca."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Emma Berman canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1809702 — 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: Emma Berman Context triple: [Luca, voiceCastMember, Emma Berman]
-
A.
Eleanor Baum
Eleanor Baum is an American electrical engineer and pioneering academic leader recognized for breaking gender barriers in engineering education and professional societies.
-
B.
Esther Bubley
Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
-
C.
Suella Braverman
Suella Braverman is a British Conservative politician and barrister who has served as Home Secretary and is known for her hardline positions on immigration and Brexit.
-
D.
Ann Rosener
Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
-
E.
Juliana Minsky
Juliana Minsky is a daughter of pioneering artificial intelligence researcher Marvin Minsky.
- 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: Emma Berman Target entity description: Emma Berman is an American voice actress best known for voicing Giulia Marcovaldo in Pixar's animated film "Luca."
-
A.
Eleanor Baum
Eleanor Baum is an American electrical engineer and pioneering academic leader recognized for breaking gender barriers in engineering education and professional societies.
-
B.
Esther Bubley
Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
-
C.
Suella Braverman
Suella Braverman is a British Conservative politician and barrister who has served as Home Secretary and is known for her hardline positions on immigration and Brexit.
-
D.
Ann Rosener
Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
-
E.
Juliana Minsky
Juliana Minsky is a daughter of pioneering artificial intelligence researcher Marvin Minsky.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
actress
ⓘ
animated feature film ⓘ human ⓘ voice actress ⓘ |
| activeIn | film ⓘ |
| appearsIn | Luca ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| employer |
Pixar Animation Studios
ⓘ
surface form:
Pixar
|
| fieldOfWork | animation voice acting ⓘ |
| genre | voice acting ⓘ |
| knownFor | voicing Giulia Marcovaldo in Luca ⓘ |
| languageSpoken | English ⓘ |
| nationality | American ⓘ |
| notableWork | Luca ⓘ |
| occupation | voice actress ⓘ |
| originalLanguage | English ⓘ |
| producer |
Pixar Animation Studios
ⓘ
surface form:
Pixar
|
| residence | United States of America ⓘ |
| sexOrGender | female ⓘ |
| voicedCharacter | Giulia Marcovaldo ⓘ |
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: Emma Berman Description of subject: Emma Berman is an American voice actress best known for voicing Giulia Marcovaldo in Pixar's animated film "Luca."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.