Triple

T15115880
Position Surface form Disambiguated ID Type / Status
Subject Mytikas E361037 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: [Mytikas, firstAscentBy, Daniel Baud-Bovy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Baud-Bovy
Context triple: [Mytikas, 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. Rémy Chevrin
    Rémy Chevrin is a French cinematographer known for his visually refined work on contemporary European films.
  • D. Bruno Wechner
    Bruno Wechner was an Austrian Roman Catholic prelate who became the inaugural bishop of the Diocese of Feldkirch.
  • E. 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.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eee6e8819092657c4006456135 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.