Triple

T15948555
Position Surface form Disambiguated ID Type / Status
Subject Calvin Murphy E386751 entity
Predicate postPlayingCareerOccupation P24096 FINISHED
Object television analyst 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: television analyst | Statement: [Calvin Murphy, postPlayingCareerOccupation, television analyst]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postPlayingCareerOccupation
Context triple: [Calvin Murphy, postPlayingCareerOccupation, television analyst]
  • A. postPlayingCareer chosen
    Indicates a relationship where something pertains to or occurs during an entity’s period after its playing career has ended.
  • B. professionalPlayingCareerEnd
    Indicates the point in time when an individual's professional playing career comes to an end.
  • C. clubCareerEnd
    Indicates the point in time or event at which an entity’s involvement in a club-level career comes to an end.
  • D. hasPlayedProfessionalSports
    Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
  • E. sportsCareer
    Indicates a relationship where an entity’s professional involvement, roles, or achievements in sports are associated with a particular sport, team, period, or competitive level.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d37cd88190ab50760f1783e20c completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:53 a.m.