Triple

T15998817
Position Surface form Disambiguated ID Type / Status
Subject Oksana Baiul E388043 entity
Predicate coachedBy P2169 FINISHED
Object Galina Zmievskaya E410256 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: Galina Zmievskaya | Statement: [Oksana Baiul, coachedBy, Galina Zmievskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galina Zmievskaya
Context triple: [Oksana Baiul, coachedBy, Galina Zmievskaya]
  • A. Galina Zmievskaya chosen
    Galina Zmievskaya is a Ukrainian figure skating coach best known for training Olympic champion Oksana Baiul and other elite skaters.
  • B. Galina Kulakova
    Galina Kulakova is a former Soviet cross-country skier who became one of the sport’s most decorated athletes in the 1960s and 1970s, winning multiple Olympic and World Championship titles.
  • C. Zoya Boguslavskaya
    Zoya Boguslavskaya is a Russian writer, literary critic, and cultural figure known for her work in contemporary literature and her involvement in Moscow’s artistic circles.
  • D. Galina Loginova
    Galina Loginova is a former Soviet and Russian actress best known as the mother and early manager of Hollywood actress and model Milla Jovovich.
  • E. Ludmila Bragina
    Ludmila Bragina is a former Soviet middle-distance runner best known for winning Olympic gold and setting multiple world records in the 1500 metres in the early 1970s.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157893ebc8190acb75ee05e450fae completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbca65a4819090109589dba7f7a9 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:55 a.m.