Triple

T11876152
Position Surface form Disambiguated ID Type / Status
Subject Lovie Smith E282531 entity
Predicate yearAwardedAPCoachOfTheYear P101989 FINISHED
Object 2005 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: 2005 | Statement: [Lovie Smith, yearAwardedAPCoachOfTheYear, 2005]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: yearAwardedAPCoachOfTheYear
Context triple: [Lovie Smith, yearAwardedAPCoachOfTheYear, 2005]
  • A. nbaCoachOfTheYearAward
    Indicates that an individual has received the NBA Coach of the Year award for coaching excellence in a particular season.
  • B. hasWonAPCollegeCoachOfTheYear
    Indicates that the subject has received an AP College Coach of the Year award.
  • C. NaismithCoachOfYearWinner
    Indicates that the subject is the recipient of the Naismith Coach of the Year award for a given season or context.
  • D. notableCoachAward
    Indicates that a coach has received a significant or distinguished award in recognition of their coaching achievements.
  • E. conferenceCoachOfTheYearIn
    Indicates that a coach received the Conference Coach of the Year award in a specified conference and season or year.
  • F. None of above. chosen

Provenance (4 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d39d2934819093b9f7006f45e5cb completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb272f88819090c37c944c5a60ab completed April 10, 2026, 8:56 a.m.
PDg Predicate description generation batch_69d8d399d58c81908dab572aa82426d7 completed April 10, 2026, 10:40 a.m.
Created at: April 8, 2026, 9:44 p.m.