Triple

T8593182
Position Surface form Disambiguated ID Type / Status
Subject Flying Finns E203478 entity
Predicate notableExample P1503 FINISHED
Object Lasse Virén E56857 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: Lasse Virén | Statement: [Flying Finns, notableExample, Lasse Virén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasse Virén
Context triple: [Flying Finns, notableExample, Lasse Virén]
  • A. Lasse Virén chosen
    Lasse Virén is a Finnish long-distance runner renowned for winning double gold in the 5,000 and 10,000 meters at both the 1972 and 1976 Olympic Games.
  • B. Markku Alén
    Markku Alén is a Finnish former rally driver renowned for his success in the World Rally Championship during the 1970s and 1980s, particularly with the factory Lancia team.
  • C. Petter Aron Lindström
    Petter Aron Lindström was a Swedish neurosurgeon best known as the first husband of actress Ingrid Bergman.
  • D. Henrik Wigström
    Henrik Wigström was a renowned Finnish-born Russian goldsmith best known as one of the leading workmasters for the House of Fabergé, creating many of its famous jeweled eggs and luxury objects.
  • E. Johan Nordström
    Johan Nordström, better known as John W. Nordstrom, was a Swedish-American businessman who co-founded the upscale department store chain Nordstrom in the United States.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4668b49481908838579e9876c1ec completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3332a008190bbeba37bcfc355cb completed April 2, 2026, 10:52 p.m.
Created at: March 30, 2026, 6:23 p.m.