Triple

T8421365
Position Surface form Disambiguated ID Type / Status
Subject For the Love of Ray J E198860 entity
Predicate featuresContestants P82094 FINISHED
Object female contestants competing for Ray J 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: female contestants competing for Ray J | Statement: [For the Love of Ray J, featuresContestants, female contestants competing for Ray J]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresContestants
Context triple: [For the Love of Ray J, featuresContestants, female contestants competing for Ray J]
  • A. contestantOn
    Indicates that one entity participates as a competitor in a contest, show, or competition associated with another entity.
  • B. featuresPlayer
    Indicates that something includes or prominently presents a particular player as part of its content or composition.
  • C. featuresCompetitionIn
    Indicates that something includes or presents a particular competition as part of its content or structure.
  • D. featuredCandidate
    Indicates that a particular candidate is highlighted or given special prominence relative to others.
  • E. featuresOpponentType
    Indicates that an entity involves, includes, or is associated with an opponent of a specified type within a competitive or adversarial context.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84ca7b348190abab25e79b05407f completed March 31, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69cb70d70ea081909c3dc1bd2ec14f85 completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb77690720819099de1e22b84a9563 completed March 31, 2026, 7:27 a.m.
Created at: March 30, 2026, 6:06 p.m.