Triple

T2504597
Position Surface form Disambiguated ID Type / Status
Subject Olga Korbut E52548 entity
Predicate familyName P18 FINISHED
Object Korbut E52657 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: Korbut | Statement: [Olga Korbut, familyName, Korbut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korbut
Context triple: [Olga Korbut, familyName, Korbut]
  • A. Olga Korbut chosen
    Olga Korbut is a Soviet Belarusian gymnast whose innovative and daring routines at the 1972 Munich Olympics revolutionized women’s artistic gymnastics and made her an international sports icon.
  • B. Viktoria Brezhneva
    Viktoria Brezhneva was the wife of Soviet leader Leonid Brezhnev and a Soviet public figure who largely remained out of the political spotlight.
  • C. Tatyana Andropova
    Tatyana Andropova was the wife of Soviet leader Yuri Andropov and a relatively private figure associated with the Soviet political elite.
  • D. Nadia Comăneci
    Nadia Comăneci is a Romanian gymnast widely regarded as one of the greatest in history, best known for scoring the first perfect 10 in Olympic gymnastics at the 1976 Montreal Games.
  • E. Larisa Latynina
    Larisa Latynina is a Soviet artistic gymnast who became one of the most decorated Olympians in history, winning a record number of medals during the 1950s and 1960s.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cd2db0819087d21ec49ffd9585 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5ce4dc2c8190a1327794ac1d1b15 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:46 p.m.