Triple

T7021160
Position Surface form Disambiguated ID Type / Status
Subject Pierre Favre E162827 entity
Predicate name P16 FINISHED
Object Pierre Favre E162827 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: Pierre Favre | Statement: [Pierre Favre, name, Pierre Favre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Favre
Context triple: [Pierre Favre, name, Pierre Favre]
  • A. Pierre Favre chosen
    Pierre Favre, better known internationally as Peter Faber, was a 16th-century French Jesuit priest and co-founder of the Society of Jesus alongside Ignatius of Loyola.
  • B. Guy Novès
    Guy Novès is a highly successful French rugby union coach and former player, best known for leading Stade Toulousain to numerous domestic and European titles.
  • C. Etienne Favre
    Etienne Favre was a mountaineer known for participating in the pioneering first ascent of the Grande Casse in the French Alps.
  • D. Aimé Jacquet
    Aimé Jacquet is a French football manager best known for coaching the France national team to victory at the 1998 FIFA World Cup.
  • E. Bernard Laporte
    Bernard Laporte is a French rugby union coach, former France national team manager, and sports executive who has held top leadership roles in both French and international rugby governance.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1eab4d4819083230974c361cc74 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7757686bc819089f6749e43bbb89d completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.