Triple

T4736937
Position Surface form Disambiguated ID Type / Status
Subject Jack Warner E105147 entity
Predicate sibling P363 FINISHED
Object Albert Warner E42806 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: Albert Warner | Statement: [Jack Warner, sibling, Albert Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Warner
Context triple: [Jack Warner, sibling, Albert Warner]
  • A. Albert Warner chosen
    Albert Warner was an American film executive and one of the four Warner brothers who co-founded the major Hollywood studio Warner Bros.
  • B. Arthur M. Wirtz
    Arthur M. Wirtz was an American businessman and sports executive best known for building a major empire in arena management and professional hockey ownership, including the Chicago Blackhawks.
  • C. Sam Warner
    Sam Warner was a co-founder and pioneering executive of Warner Bros. who helped usher in the era of sound films in Hollywood.
  • D. Norman Wooland
    Norman Wooland was a British character actor known for his supporting roles in mid-20th-century films, particularly in Shakespearean and historical dramas.
  • E. 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.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64831c58819098758ac1f7839b3a completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b49b90819091c3ab38e976baeb completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:19 p.m.