Triple

T5788832
Position Surface form Disambiguated ID Type / Status
Subject Gaia Romilly Wise E128339 entity
Predicate hasRelative P367 FINISHED
Object Greg Wise E22577 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: Greg Wise | Statement: [Gaia Romilly Wise, hasRelative, Greg Wise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Wise
Context triple: [Gaia Romilly Wise, hasRelative, Greg Wise]
  • A. Greg Wise chosen
    Greg Wise is a British actor and producer known for roles in period dramas such as "Sense and Sensibility" and for his long-term partnership with actress and writer Emma Thompson.
  • B. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • C. Tim Walsh
    Tim Walsh is a name shared by several notable individuals, including professionals in fields such as sports, music, and game design.
  • D. Keenan Wynn
    Keenan Wynn was an American character actor known for his prolific film and television career from the 1940s through the 1970s, often playing gruff, comedic, or villainous supporting roles.
  • E. Jason Shuman
    Jason Shuman is a film and television producer known for his work on projects such as the sports drama series "Winning Time: The Rise of the Lakers Dynasty."
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a53d0148190bdebc4f5609939ac completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0d1ddb48190a697f202b43cc633 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:51 p.m.