Triple

T11392075
Position Surface form Disambiguated ID Type / Status
Subject K5 E269866 entity
Predicate firstAscentBy P1321 FINISHED
Object Pete Schoening E206602 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: Pete Schoening | Statement: [K5, firstAscentBy, Pete Schoening]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Schoening
Context triple: [K5, firstAscentBy, Pete Schoening]
  • A. Pete Schoening chosen
    Pete Schoening was an American mountaineer renowned for his pioneering high-altitude climbs and legendary feats of climbing skill and survival.
  • B. Michael Schultz
    Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
  • C. Bernie Osterman
    Bernie Osterman is a central figure in the thriller narrative "The Osterman Weekend," around whom the story’s espionage and conspiracy elements revolve.
  • D. Jimmy Olander
    Jimmy Olander is an American country musician best known as the lead guitarist and banjo player for the Grammy-winning band Diamond Rio.
  • E. Tim Latta
    Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
  • 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.