Triple

T23412860
Position Surface form Disambiguated ID Type / Status
Subject Schalk Ferreira E560124 entity
Predicate playedFor P2170 FINISHED
Object Lyon OU NE NERFINISHED

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: Lyon OU | Statement: [Schalk Ferreira, playedFor, Lyon OU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyon OU
Context triple: [Schalk Ferreira, playedFor, Lyon OU]
  • A. Lyon OU
    Lyon OU is a French rugby union club based in Lyon that competes in the country’s top professional league.
  • B. CPE Lyon
    CPE Lyon is a French grande école of engineering and chemistry located in the Lyon metropolitan area.
  • C. Les Lyonnais
    Les Lyonnais is a French film in which actress Corinne Marchand delivered one of her most recognized performances.
  • D. Lyonnet
    Lyonnet is a French surname most notably associated with professional dancer Grégoire Lyonnet.
  • E. Lyon Olympique Universitaire rugby union team chosen
    Lyon Olympique Universitaire is a French professional rugby union club based in Lyon that competes in the country’s top domestic league.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a5124a54819087a7ae2f8a5b3dc0 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:39 p.m.