Triple

T1746526
Position Surface form Disambiguated ID Type / Status
Subject Björn Dählie E38347 entity
Predicate name P16 FINISHED
Object Bjørn Erlend Dæhlie E38347 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: Bjørn Erlend Dæhlie | Statement: [Björn Dählie, name, Bjørn Erlend Dæhlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjørn Erlend Dæhlie
Context triple: [Björn Dählie, name, Bjørn Erlend Dæhlie]
  • A. Björn Dählie chosen
    Björn Dählie is a legendary Norwegian cross-country skier and one of the most decorated Winter Olympians in history, renowned for his multiple gold medals and dominance in the 1990s.
  • B. Ole Einar Bjørndalen
    Ole Einar Bjørndalen is a Norwegian biathlete widely regarded as one of the greatest in the sport’s history, holding a record number of Olympic and World Championship medals.
  • C. Tore Lie
    Tore Lie is a Norwegian former handball player who competed in the 1972 Summer Olympics.
  • D. Truls Gerhardsen
    Truls Gerhardsen is a Norwegian politician and the son of former Prime Minister Einar Gerhardsen.
  • E. Sjur Lie
    Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63eabdf48190878ecde3d1b1faf3 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9866d308190a1de483f5a330362 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.