Triple

T19037348
Position Surface form Disambiguated ID Type / Status
Subject Tomislav Ružić E465906 entity
Predicate isFormerPlayer P15460 FINISHED
Object true 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: true | Statement: [Tomislav Ružić, isFormerPlayer, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFormerPlayer
Context triple: [Tomislav Ružić, isFormerPlayer, true]
  • A. retiredAsPlayerFrom
    Indicates that an individual ended their professional playing career while being associated with a specific team, organization, or context.
  • B. hasFormerTeam chosen
    Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
  • C. hasRetiredPlayersFrom
    Indicates that an entity has players who previously played for it and have since retired, originating from the specified source entity (e.g., team, league, or country).
  • D. laterPlayedFor
    Indicates that an individual was a member of or played for a team or organization at a time after a previously referenced team or organization.
  • E. hasPlayedProfessionalSports
    Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d744b39881909334a80a4c15000b completed April 20, 2026, 7:35 a.m.
PD Predicate disambiguation batch_69e4a3001e388190aa6057266514e75a completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 12:02 p.m.