Triple

T12902687
Position Surface form Disambiguated ID Type / Status
Subject Eiger E308648 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: [Eiger, firstAscentBy, Christian Almer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Almer
Context triple: [Eiger, 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a563a84c8190a75d830653661518 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.