Triple

T16544387
Position Surface form Disambiguated ID Type / Status
Subject 1993 European Figure Skating Championships E401903 entity
Predicate championLadies P2682 FINISHED
Object Surya Bonaly E84914 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: Surya Bonaly | Statement: [1993 European Figure Skating Championships, championLadies, Surya Bonaly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surya Bonaly
Context triple: [1993 European Figure Skating Championships, championLadies, Surya Bonaly]
  • A. Surya Bonaly chosen
    Surya Bonaly is a French figure skater renowned for her powerful athleticism, multiple European titles, and for performing a historic backflip on one blade in Olympic competition.
  • B. Sylvie Landra
    Sylvie Landra is a French film editor known for her work on major films such as Luc Besson’s science fiction blockbuster "The Fifth Element."
  • C. Carine Petit
    Carine Petit is a French politician who serves as the mayor of Paris's 14th arrondissement.
  • D. Nicole Boivin
    Nicole Boivin is an archaeologist and anthropologist known for her research on human migration, cultural exchange, and the long-term interactions between humans and their environments.
  • E. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34560daf08190b353b415d8ab280d completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2590d48190b72b7d5be20c14c7 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:15 a.m.