Triple

T16544414
Position Surface form Disambiguated ID Type / Status
Subject France at the European Figure Skating Championships E401904 entity
Predicate notableSkater P10392 FINISHED
Object Brian Joubert E1163339 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: Brian Joubert | Statement: [France at the European Figure Skating Championships, notableSkater, Brian Joubert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Joubert
Context triple: [France at the European Figure Skating Championships, notableSkater, Brian Joubert]
  • A. Brian Joubert chosen
    Brian Joubert is a French former competitive figure skater best known for winning the 2007 World Championship and multiple European titles in men's singles.
  • B. Eric Thibault
    Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
  • C. Joel Desrouleaux
    Joel Desrouleaux is the brother of American singer, songwriter, and dancer Jason Derulo.
  • D. Kevin Grevioux
    Kevin Grevioux is an American actor, screenwriter, and comic book writer best known for co-creating the dark fantasy film franchise "Underworld."
  • E. Michael Fessier
    Michael Fessier was an American screenwriter and author known for his work on Hollywood films in the 1930s and 1940s, often contributing to romantic comedies and musicals.
  • 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_6a00758f97708190a289da0bd5d5c254 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.