Sam Greenfield
E865356
Sam Greenfield is the perpetually unlucky young woman who becomes the central heroine of the animated fantasy film "Luck," navigating a secret world of good and bad fortune.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sam Greenfield canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10467343 — 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: Sam Greenfield Context triple: [Luck, mainCharacter, Sam Greenfield]
-
A.
John Greenfield
John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
-
B.
Daniel Green
Daniel Green is a music producer known for his work on the track "Paradise."
-
C.
Martin Green
Martin Green is a renowned Australian engineer and solar energy researcher recognized as a leading pioneer in photovoltaic technology.
-
D.
Edward Green
Edward Green was the brother of British idealist philosopher T. H. Green, a member of the same prominent 19th-century English family.
-
E.
Christopher Greenbury
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
- 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: Sam Greenfield Target entity description: Sam Greenfield is the perpetually unlucky young woman who becomes the central heroine of the animated fantasy film "Luck," navigating a secret world of good and bad fortune.
-
A.
John Greenfield
John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
-
B.
Daniel Green
Daniel Green is a music producer known for his work on the track "Paradise."
-
C.
Martin Green
Martin Green is a renowned Australian engineer and solar energy researcher recognized as a leading pioneer in photovoltaic technology.
-
D.
Edward Green
Edward Green was the brother of British idealist philosopher T. H. Green, a member of the same prominent 19th-century English family.
-
E.
Christopher Greenbury
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
animated character
ⓘ
fictional character ⓘ film character ⓘ |
| age | young adult ⓘ |
| appearsIn | Luck NERFINISHED ⓘ |
| appearsInGenre |
animated fantasy film
ⓘ
family film ⓘ |
| associatedWith |
bad luck
ⓘ
good luck ⓘ |
| backstory | grew up in foster care ⓘ |
| characterArc | acceptance of randomness in life ⓘ |
| characterTrait |
determined
ⓘ
kind ⓘ optimistic ⓘ unlucky ⓘ |
| countryOfOriginOfWork |
United States of America
ⓘ
surface form:
United States
|
| createdBy | Skydance Animation NERFINISHED ⓘ |
| createdFor | Apple TV+ NERFINISHED ⓘ |
| distributorOfWork | Apple TV+ NERFINISHED ⓘ |
| filmDirectorOfWork | Peggy Holmes NERFINISHED ⓘ |
| firstAppearance | film "Luck" (2022) NERFINISHED ⓘ |
| friendOf |
Bob the cat
NERFINISHED
ⓘ
Hazel NERFINISHED ⓘ |
| gender | female ⓘ |
| goal | help Hazel find a forever family ⓘ |
| meets | Bob the cat NERFINISHED ⓘ |
| narrativeRole |
central heroine
ⓘ
main point-of-view character ⓘ |
| narrativeTheme | exploration of luck and fortune ⓘ |
| navigates | Land of Luck NERFINISHED ⓘ |
| occupation | intern ⓘ |
| productionCompanyOfWork | Skydance Animation NERFINISHED ⓘ |
| residenceAtStartOfFilm | group home ⓘ |
| roleInWork | protagonist of the film "Luck" ⓘ |
| species | human ⓘ |
| voiceActor | Eva Noblezada NERFINISHED ⓘ |
| worksAt | craft store ⓘ |
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: Sam Greenfield Description of subject: Sam Greenfield is the perpetually unlucky young woman who becomes the central heroine of the animated fantasy film "Luck," navigating a secret world of good and bad fortune.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.