Triple

T10752085
Position Surface form Disambiguated ID Type / Status
Subject Nurse Betty E253594 entity
Predicate distributedBy P1951 FINISHED
Object USA Films E318201 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: USA Films | Statement: [Nurse Betty, distributedBy, USA Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USA Films
Context triple: [Nurse Betty, distributedBy, USA Films]
  • A. USA Films chosen
    USA Films was an American independent film distribution company known for releasing critically acclaimed art-house and specialty films in the late 1990s and early 2000s.
  • B. American cinema
    American cinema is the film industry and body of motion pictures produced in the United States, best known for Hollywood’s global influence on popular culture and filmmaking.
  • C. Hollywood films
    Hollywood films are mainstream motion pictures produced by the American film industry centered in Hollywood, known for their global influence, large-scale productions, and dominant role in popular cinema.
  • D. Company Films
    Company Films is a film production company known for producing the science fiction drama movie "Passengers."
  • E. October Films
    October Films was an American independent film distribution company known for releasing critically acclaimed arthouse and foreign films in the 1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc184d0819085f8bc4edb034377 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbdb897f7c81909002f2478613eff8 completed April 12, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:15 p.m.