Triple

T398819
Position Surface form Disambiguated ID Type / Status
Subject Gilbert Arenas E9232 entity
Predicate retiredFromProfession P2089 FINISHED
Object professional basketball 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: professional basketball | Statement: [Gilbert Arenas, retiredFromProfession, professional basketball]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retiredFromProfession
Context triple: [Gilbert Arenas, retiredFromProfession, professional basketball]
  • A. retiredFrom
    Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
  • B. retired chosen
    Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
  • C. roleAfterRetirement
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • D. hadOccupationStatusUntil
    Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
  • E. retirementDate
    Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8d0ca881909d786e8eed9b6748 completed Feb. 28, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69a2e96d17d08190878d3a68b17d51ca completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.