Triple

T6602166
Position Surface form Disambiguated ID Type / Status
Subject Tamsin Wise E149024 entity
Predicate sibling P363 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: [Tamsin Wise, sibling, Greg Wise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Wise
Context triple: [Tamsin Wise, sibling, 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. Patrick Whitesell
    Patrick Whitesell is a prominent American talent agent and entertainment executive, best known as a top leader and co-founder of the global media and talent representation company Endeavor.
  • D. Tim Walsh
    Tim Walsh is a name shared by several notable individuals, including professionals in fields such as sports, music, and game design.
  • E. 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.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af10303081909541a140f8898979 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e434afd08190807faf0069c70cce completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:56 p.m.