Triple

T13565468
Position Surface form Disambiguated ID Type / Status
Subject Rigobert Song E324022 entity
Predicate givenName P17 FINISHED
Object Rigobert E324022 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: Rigobert | Statement: [Rigobert Song, givenName, Rigobert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rigobert
Context triple: [Rigobert Song, givenName, Rigobert]
  • A. Rigobert Song chosen
    Rigobert Song is a renowned Cameroonian former defender and captain who became one of Africa’s most capped footballers and later a coach of the national team.
  • B. Léon Mba
    Léon Mba was a Gabonese politician who became the country’s first president after leading it to independence from France.
  • C. Gervinho
    Gervinho is an Ivorian professional footballer known for his pace and dribbling as a winger, who has played for top European clubs and been a key figure for the Ivory Coast national team.
  • D. François Omam-Biyik
    François Omam-Biyik is a former Cameroonian footballer best known for his powerful heading ability and his decisive goal against Argentina in the opening match of the 1990 FIFA World Cup.
  • E. Christophe Dugarry
    Christophe Dugarry is a retired French footballer and 1998 World Cup winner known for his forward play with clubs such as AC Milan, Barcelona, and the French national team.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00cecd48190a9a2caff3d424817 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb3d77c8190a7af2ee7e9b6748a completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.