Triple

T13307458
Position Surface form Disambiguated ID Type / Status
Subject Olympus E316971 entity
Predicate firstAscentBy P1321 FINISHED
Object Daniel Baud-Bovy E112165 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: Daniel Baud-Bovy | Statement: [Olympus, firstAscentBy, Daniel Baud-Bovy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Baud-Bovy
Context triple: [Olympus, firstAscentBy, Daniel Baud-Bovy]
  • A. Daniel Baud-Bovy chosen
    Daniel Baud-Bovy was a Swiss writer and mountaineer known for his pioneering climbs and contributions to the cultural and literary life of early 20th-century Switzerland.
  • B. Marc Gisin
    Marc Gisin is a Swiss former World Cup alpine ski racer known primarily as a speed specialist in downhill and super-G events.
  • C. Bruno Wechner
    Bruno Wechner was an Austrian Roman Catholic prelate who became the inaugural bishop of the Diocese of Feldkirch.
  • D. Julien Hirsch
    Julien Hirsch is a French cinematographer known for his work on numerous art-house and auteur films, including collaborations with directors like Jean-Luc Godard.
  • E. Daniel Wüthrich
    Daniel Wüthrich is a notable individual who bears the surname Wüthrich, recognized enough to be specifically cited as an example of this family name.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a8be108190bad0021f95ce3a93 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e58cc48190afb46e8394227ab5 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.