Triple

T11392076
Position Surface form Disambiguated ID Type / Status
Subject K5 E269866 entity
Predicate firstAscentBy P1321 FINISHED
Object Andy Kauffman E269867 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: Andy Kauffman | Statement: [K5, firstAscentBy, Andy Kauffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Kauffman
Context triple: [K5, firstAscentBy, Andy Kauffman]
  • A. Andy Kauffman chosen
    Andy Kauffman was an American mountaineer renowned for his pioneering high-altitude climbs in the Karakoram range.
  • B. Ken Kaufman
    Ken Kaufman is an American screenwriter known for his work on major studio films, including the Western thriller "The Missing."
  • C. Harold Ramis
    Harold Ramis was an American actor, writer, and director best known for his work on classic comedy films such as Ghostbusters, Caddyshack, and Groundhog Day.
  • D. Buck Henry
    Buck Henry was an American screenwriter, actor, and director best known for co-writing the landmark film "The Graduate" and co-creating the TV series "Get Smart."
  • E. James L. Brooks
    James L. Brooks is an American writer, director, and producer best known for creating and producing acclaimed television series like "The Mary Tyler Moore Show" and "The Simpsons" and for directing the Oscar-winning film "Terms of Endearment."
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001796f48190822526f52e3f0337 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b813cfc48190a10d9b78953112ae completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.