Triple

T8156630
Position Surface form Disambiguated ID Type / Status
Subject Norman Wooland E190466 entity
Predicate name P16 FINISHED
Object Norman Wooland E190466 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: Norman Wooland | Statement: [Norman Wooland, name, Norman Wooland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Wooland
Context triple: [Norman Wooland, name, Norman Wooland]
  • A. Norman Wooland chosen
    Norman Wooland was a British character actor known for his supporting roles in mid-20th-century films, particularly in Shakespearean and historical dramas.
  • B. Samuel Goldwyn
    Samuel Goldwyn was a pioneering American film producer and studio executive who played a key role in shaping Hollywood’s early motion picture industry.
  • C. Dean Zanuck
    Dean Zanuck is an American film producer and member of the prominent Zanuck filmmaking family, known for working on major Hollywood projects.
  • 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. Norm Sloan
    Norm Sloan was an American college basketball coach best known for leading NC State to the 1974 NCAA championship and later coaching the Florida Gators.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d8a37481909397b5cc321b94be completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced43a5448190b2600cbdbabf9d31 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:37 p.m.