Triple

T1747735
Position Surface form Disambiguated ID Type / Status
Subject Harry Warner E38372 entity
Predicate foundedWith P3263 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: [Harry Warner, foundedWith, Albert Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Warner
Context triple: [Harry Warner, foundedWith, 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. 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.
  • D. 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.
  • E. Jack Warner
    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.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ecda0c819091f81942a5bde31d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc99a3e908190b64f70cf7ab83ed3 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:31 p.m.