Triple

T2747921
Position Surface form Disambiguated ID Type / Status
Subject AJ Auxerre E60913 entity
Predicate producedNotablePlayers P9730 FINISHED
Object multiple French internationals LITERAL 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: multiple French internationals | Statement: [AJ Auxerre, producedNotablePlayers, multiple French internationals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: producedNotablePlayers
Context triple: [AJ Auxerre, producedNotablePlayers, multiple French internationals]
  • A. producedLeaguePlayers
    Indicates that an entity has developed or given rise to players who went on to participate in a specified league.
  • B. hasNotablePlayer chosen
    Indicates that an entity (such as a team or club) is associated with a player who is particularly distinguished, famous, or significant in its context.
  • C. producedNFLPlayers
    Indicates that one entity has been the origin, source, or training ground for individuals who later became NFL players.
  • D. notableAthlete
    Indicates that the subject is a well-known or distinguished athlete associated with the object (such as a sport, team, or organization).
  • E. notablePlayersCoached
    Indicates that a coach has trained or mentored specific players who are considered notable or distinguished in their field.
  • F. None of above.

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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69abd829f1e88190aab1d54f87c69714 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.