Triple

T12382002
Position Surface form Disambiguated ID Type / Status
Subject Michael Essien E295766 entity
Predicate club P8194 FINISHED
Object Olympique Lyonnais E78796 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: Olympique Lyonnais | Statement: [Michael Essien, club, Olympique Lyonnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympique Lyonnais
Context triple: [Michael Essien, club, Olympique Lyonnais]
  • A. Olympique Lyonnais chosen
    Olympique Lyonnais is a prominent French professional football club based in Lyon, known for its domestic success and regular participation in European competitions.
  • B. Olympique de Marseille
    Olympique de Marseille is a major French professional football club based in Marseille, renowned for its passionate fanbase and as the only French team to have won the UEFA Champions League.
  • C. FC Lyon
    FC Lyon is a historic French football club based in Lyon, known as one of the country’s older sporting institutions.
  • D. LOSC Lille
    LOSC Lille is a professional French football club based in the Lille metropolitan area that competes in Ligue 1 and has won multiple national titles.
  • E. Parc Olympique Lyonnais
    Parc Olympique Lyonnais is a modern football stadium in Décines-Charpieu near Lyon, France, serving as a major venue for domestic and international sporting and entertainment events.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea28b508190a2467b9af195e4ed completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:54 p.m.