Triple

T9148249
Position Surface form Disambiguated ID Type / Status
Subject Warner family E219513 entity
Predicate hasMember P10 FINISHED
Object Jack L. Warner E105147 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: Jack L. Warner | Statement: [Warner family, hasMember, Jack L. Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack L. Warner
Context triple: [Warner family, hasMember, Jack L. Warner]
  • A. Jack Warner
    Jack Warner was a British actor best known for his long-running role as the kindly police constable George Dixon in the television series "Dixon of Dock Green."
  • B. Jack Warner chosen
    Jack Warner was a prominent American film executive and co-founder of Warner Bros. who played a key role in shaping Hollywood’s studio era.
  • C. Harry Warner
    Harry Warner was an American film executive and one of the founding brothers of the Warner Bros. studio, a major force in early Hollywood cinema.
  • D. Louis B. Mayer
    Louis B. Mayer was a powerful Hollywood film producer and studio executive who co-founded Metro-Goldwyn-Mayer (MGM) and became one of the most influential figures of the studio era.
  • E. Dean Zanuck
    Dean Zanuck is an American film producer and member of the prominent Zanuck filmmaking family, known for working on major Hollywood projects.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca91a1fd08190a5bb3d9280439b09 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065c9dcf08190804bd1ae8f7874dc completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:20 p.m.