Triple

T11467879
Position Surface form Disambiguated ID Type / Status
Subject Olga Korbut E271823 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. Svetlana Kulik
    Svetlana Kulik is a notable individual recognized for achievements significant enough to be recorded in biographical or reference sources.
  • C. Ludmila Kulik
    Ludmila Kulik is a notable individual who bears the Russian surname Kulik, recognized among people with this family name.
  • D. Yelena Shushunova
    Yelena Shushunova was a Soviet artistic gymnast and 1988 Olympic all-around champion renowned for her power, difficulty, and innovation in women’s gymnastics.
  • E. Ludmilla Tourischeva
    Ludmilla Tourischeva is a legendary Soviet artistic gymnast and multiple Olympic and world champion renowned for her calm, composed style and dominance 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684f59e2481909e96129e28c961ea completed April 20, 2026, 7:56 p.m.
Created at: April 8, 2026, 9:35 p.m.