Triple

T9356089
Position Surface form Disambiguated ID Type / Status
Subject Darya Domracheva E225143 entity
Predicate spouse P13 FINISHED
Object Ole Einar Bjørndalen E44107 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: Ole Einar Bjørndalen | Statement: [Darya Domracheva, spouse, Ole Einar Bjørndalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ole Einar Bjørndalen
Context triple: [Darya Domracheva, spouse, Ole Einar Bjørndalen]
  • A. Ole Einar Bjørndalen chosen
    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.
  • B. Björn Dählie
    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.
  • C. Johan Svendsen
    Johan Svendsen was a prominent Norwegian composer and conductor of the Romantic era, known especially for his orchestral works and contributions to Scandinavian music.
  • D. Ole Einar
    Ole Einar is a Norwegian former biathlete widely regarded as one of the greatest in the sport’s history.
  • E. Lars Magne Ingebrigtsen
    Lars Magne Ingebrigtsen is a Norwegian software developer best known for creating and maintaining the Gnus newsreader and contributing extensively to the Emacs ecosystem.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4fee9d4c8190a7d121c9487ccca2 completed April 1, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10788d86481908764201548f0dbdf completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:42 p.m.