Triple

T18860401
Position Surface form Disambiguated ID Type / Status
Subject Tiger Woods E461295 entity
Predicate spouse P13 FINISHED
Object Elin Nordegren 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: Elin Nordegren | Statement: [Tiger Woods, spouse, Elin Nordegren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elin Nordegren
Context triple: [Tiger Woods, spouse, Elin Nordegren]
  • A. Elin Nordegren chosen
    Elin Nordegren is a Swedish former model and nanny best known as the ex-wife of professional golfer Tiger Woods.
  • B. Catherine Oxenberg
    Catherine Oxenberg is an American actress best known for her role as Amanda Carrington on the 1980s television soap opera "Dynasty."
  • C. Linda Hurley
    Linda Hurley is an Australian community advocate and former viceregal consort, known for her role as the wife of General David Hurley, the 27th Governor-General of Australia.
  • D. Dawn Tallman
    Dawn Tallman is an American gospel and house music vocalist known for her powerful, soulful voice and collaborations with prominent dance music producers.
  • E. Marylou Whitney
    Marylou Whitney was a prominent American socialite, philanthropist, and thoroughbred racehorse owner known as the "Queen of Saratoga" for her influential role in horse racing and high society.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05fb800819098951ec134a1fa2a completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.