Triple

T3065940
Position Surface form Disambiguated ID Type / Status
Subject Widows (2018 film) E62103 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: [Widows (2018 film), productionCompany, Regency Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regency Enterprises
Context triple: [Widows (2018 film), 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. Forever Enterprises
    Forever Enterprises is the private company that owns and operates the historic Hollywood Forever Cemetery in Los Angeles.
  • C. Lerner Enterprises
    Lerner Enterprises is a major privately held real estate development and management company based in the Washington, D.C. metropolitan area.
  • D. Mirage Enterprises
    Mirage Enterprises is a film production company best known for producing acclaimed movies such as the Academy Award–winning drama "Out of Africa."
  • E. Edward James Harland & Company
    Edward James Harland & Company was the 19th-century Belfast shipbuilding firm founded by Edward James Harland that later evolved into the renowned Harland and Wolff shipyard.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fc01dc81908fbdf7c1ef73afe4 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1402108190a2d24e7eb523f658 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.