Triple

T16682611
Position Surface form Disambiguated ID Type / Status
Subject Christian Almer E405376 entity
Predicate name P16 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: [Christian Almer, name, Christian Almer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Almer
Context triple: [Christian Almer, name, 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. Peter Amundson
    Peter Amundson is a film editor known for his work on major Hollywood productions, including the thriller "Daylight."
  • E. 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.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d7018448190b3cb23191322044e completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009194ad188190aae3371c97abc045 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.