Triple

T11574834
Position Surface form Disambiguated ID Type / Status
Subject Barre des Écrins E274475 entity
Predicate firstAscentBy P1321 FINISHED
Object Christian Almer E405376 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: Christian Almer | Statement: [Barre des Écrins, firstAscentBy, Christian Almer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Almer
Context triple: [Barre des Écrins, firstAscentBy, Christian Almer]
  • A. Christian Almer chosen
    Christian Almer was a renowned 19th-century Swiss mountain guide and pioneering alpinist known for making many important first ascents in the Alps.
  • B. Peter Amundson
    Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
  • C. Peter Amundson
    Peter Amundson is a film editor best known for his work on movies such as the psychological thriller "The Butterfly Effect."
  • D. Christian Lundeberg
    Christian Lundeberg was a Swedish conservative politician who briefly served as Prime Minister of Sweden in 1905 during the dissolution of the union with Norway.
  • E. Christian Berge
    Christian Berge is a former Norwegian handball player and prominent coach, best known for leading Norway’s men’s national team to international success.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef12f0661081909c31de2c2cd304e3 completed April 27, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:38 p.m.