Triple

T9967447
Position Surface form Disambiguated ID Type / Status
Subject Wonskolaser E195720 entity
Predicate usedBy P260 FINISHED
Object Harry Warner E38372 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: Harry Warner | Statement: [Wonskolaser, usedBy, Harry Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Warner
Context triple: [Wonskolaser, usedBy, Harry Warner]
  • A. Harry Warner chosen
    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.
  • B. 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."
  • C. 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.
  • 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. Harry Cohn
    Harry Cohn was an American film studio executive and producer who co-founded and long led Columbia Pictures, shaping it into a major Hollywood studio.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71f9d7c8190ac02c53052c1c6ad completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b5d295908190a064fb72d65b6e24 completed April 5, 2026, 7:19 p.m.
Created at: March 30, 2026, 8:47 p.m.