Triple

T16073282
Position Surface form Disambiguated ID Type / Status
Subject Oksana E389917 entity
Predicate hasNotableBearer P458 FINISHED
Object Oksana Grishuk E726343 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: Oksana Grishuk | Statement: [Oksana, hasNotableBearer, Oksana Grishuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oksana Grishuk
Context triple: [Oksana, hasNotableBearer, Oksana Grishuk]
  • A. Oksana Grishuk chosen
    Oksana Grishuk is a Russian former ice dancer best known as a multiple-time Olympic and World champion with partner Evgeni Platov.
  • B. Ekaterina Gordeeva
    Ekaterina Gordeeva is a Russian former pair skater and two-time Olympic champion, renowned for her artistry and partnership with the late Sergei Grinkov.
  • C. Elena Berezhnaya
    Elena Berezhnaya is a Russian former pair skater best known for her successful partnership with Anton Sikharulidze, with whom she won multiple World and Olympic medals.
  • D. Tatiana Kulik
    Tatiana Kulik is a person notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public details about her are not clearly established.
  • E. Tatiana Tarasova
    Tatiana Tarasova is a renowned Russian figure skating coach and choreographer known for guiding numerous skaters to Olympic and World Championship titles.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c0390c8190b0da263cccec14e5 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe484cef08190a3797c91a7025081 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.