Triple

T22220281
Position Surface form Disambiguated ID Type / Status
Subject Bjørn Bjørnson E549190 entity
Predicate givenName P17 FINISHED
Object Bjørn 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: Bjørn | Statement: [Bjørn Bjørnson, givenName, Bjørn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjørn
Context triple: [Bjørn Bjørnson, givenName, Bjørn]
  • A. Bjørn chosen
    Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
  • B. Torbjørn
    Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
  • C. Olaf Rye
    Olaf Rye was a 19th-century Norwegian-Danish military officer and national hero, known for his role in the First Schleswig War and celebrated as one of Norway’s early modern war heroes.
  • D. Ole Einar
    Ole Einar is a Norwegian former biathlete widely regarded as one of the greatest in the sport’s history.
  • E. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8fa3d081908db0a0556b009d8f completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.