Triple

T18520299
Position Surface form Disambiguated ID Type / Status
Subject Creel Committee E452565 entity
Predicate hasPart P35 FINISHED
Object Division of Films NE NERFINISHED

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: Division of Films | Statement: [Creel Committee, hasPart, Division of Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Division of Films
Context triple: [Creel Committee, hasPart, Division of Films]
  • A. Division of Films chosen
    The Division of Films was a World War I–era U.S. government unit that produced and distributed motion pictures to promote public support for the war and American policies.
  • B. Division Films
    Division Films is an independent film production company best known for producing the 2012 crime drama "Spring Breakers."
  • C. The Film Department
    The Film Department was an independent film production company known for financing and producing mid-budget Hollywood movies in the late 2000s.
  • D. Film Art Organization Department
    The Film Art Organization Department is an academic unit at the Łódź Film School that trains students in the production, management, and organizational aspects of filmmaking and audiovisual projects.
  • E. ARRAY Filmworks
    ARRAY Filmworks is a film and television production company founded by filmmaker Ava DuVernay, known for championing diverse voices and inclusive storytelling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338db5e4819086503a2176dfe499 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.