Triple

T9789552
Position Surface form Disambiguated ID Type / Status
Subject Copycat E237571 entity
Predicate productionCompany P490 FINISHED
Object Regency Enterprises E140364 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: Regency Enterprises | Statement: [Copycat, productionCompany, Regency Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regency Enterprises
Context triple: [Copycat, productionCompany, Regency Enterprises]
  • A. Regency Enterprises chosen
    Regency Enterprises is an American film and television production company known for backing critically acclaimed and commercially successful movies such as L.A. Confidential and Fight Club.
  • B. Argyle Enterprises
    Argyle Enterprises is a film production company best known for its involvement in classic mid-20th-century cinema, including the 1963 horror film "The Haunting."
  • C. Britannia Industries
    Britannia Industries is one of India’s leading food companies, best known for its wide range of biscuits, dairy products, and bakery items sold under popular household brands.
  • D. Forever Enterprises
    Forever Enterprises is the private company that owns and operates the historic Hollywood Forever Cemetery in Los Angeles.
  • E. Memorial Enterprises
    Memorial Enterprises was a British film production company known for backing several notable films in the 1960s and 1970s.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4e30bc81909b1dce4a0cc69991 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:28 p.m.