Triple

T22936993
Position Surface form Disambiguated ID Type / Status
Subject Bjarte Myrhol E569611 entity
Predicate name P16 FINISHED
Object Bjarte Myrhol NE NERFINISHED

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: Bjarte Myrhol | Statement: [Bjarte Myrhol, name, Bjarte Myrhol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjarte Myrhol
Context triple: [Bjarte Myrhol, name, Bjarte Myrhol]
  • A. Bjarte Myrhol chosen
    Bjarte Myrhol is a prominent Norwegian handball player known for his long and influential career as a pivot and captain of Norway’s national team.
  • B. Eivind Aadland
    Eivind Aadland is a Norwegian conductor known for his interpretations of Scandinavian repertoire and collaborations with leading orchestras such as the Oslo Philharmonic.
  • C. Bjørn Nyland
    Bjørn Nyland is a Norwegian speed skater who has represented Norway in international competitions.
  • D. Stian Herøy
    Stian Herøy is a Norwegian local politician who serves as the mayor of Fedje Municipality.
  • E. Espen Øino
    Espen Øino is a renowned Norwegian naval architect and superyacht designer known for creating some of the world’s largest and most innovative luxury vessels.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813608e48190922df7a5386dc391 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.