Triple

T23440046
Position Surface form Disambiguated ID Type / Status
Subject The Core E565370 entity
Predicate productionCompany P490 FINISHED
Object Mutual Film Company 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: Mutual Film Company | Statement: [The Core, productionCompany, Mutual Film Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutual Film Company
Context triple: [The Core, productionCompany, Mutual Film Company]
  • A. Mutual Film Company chosen
    Mutual Film Company is an American film production company known for financing and producing major Hollywood action and blockbuster films.
  • B. Mutual Film Corporation
    Mutual Film Corporation was an early 20th-century American film production and distribution company known for producing silent films during the formative years of Hollywood.
  • C. First Film Company
    First Film Company is a film production company best known for producing the acclaimed 1991 musical comedy-drama "The Commitments."
  • D. Anglo-American Film Corporation
    Anglo-American Film Corporation was a mid-20th-century film distribution company involved in releasing British and other international films to wider audiences.
  • E. Ameer Film Corporation
    Ameer Film Corporation is an Indian film production company best known for backing acclaimed Tamil cinema projects.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5df28288190936f16b017a20bc0 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.