Triple

T2221261
Position Surface form Disambiguated ID Type / Status
Subject Nadia Comăneci E48145 entity
Predicate familyName P18 FINISHED
Object Comăneci E48145 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: Comăneci | Statement: [Nadia Comăneci, familyName, Comăneci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comăneci
Context triple: [Nadia Comăneci, familyName, Comăneci]
  • A. Nadia Comăneci chosen
    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.
  • B. Olga Korbut
    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.
  • C. 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.
  • D. Mary Lou Retton
    Mary Lou Retton is an American gymnast who became a national icon after winning the all-around gold medal at the 1984 Summer Olympics.
  • E. Ondrej Nepela
    Ondrej Nepela was a Slovak figure skater and 1972 Olympic champion, regarded as one of the most successful skaters of his era.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0156c8c819083e3e3b6ede1e951 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6afc6dd881909dd51d8a18ab4c74 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:47 p.m.