Triple

T18416721
Position Surface form Disambiguated ID Type / Status
Subject Suge E441911 entity
Predicate associatedWithDanceChallenges P36067 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: [Suge, associatedWithDanceChallenges, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithDanceChallenges
Context triple: [Suge, associatedWithDanceChallenges, true]
  • A. hasDanceChallenge
    Indicates that one entity presents, initiates, or is associated with a dance challenge involving another entity.
  • B. associatedDanceTrend chosen
    Indicates a relationship where one entity is linked to, or commonly recognized as having, a particular dance trend connected with it.
  • C. hasDanceAssociation
    Indicates that there is a relationship or affiliation between an entity and a dance-related organization, group, or activity.
  • D. hasChoreographedDanceInVideo
    Indicates that an entity has created or arranged the choreography for a dance that appears in a particular video.
  • E. hasDanceChoreography
    Indicates that an entity is associated with or characterized by a specific dance choreography.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a284b608190b77c360a72aceb7a completed April 19, 2026, 6:08 p.m.
PD Predicate disambiguation batch_69e469bf7f74819096a01173493412c2 completed April 19, 2026, 5:35 a.m.
Created at: April 10, 2026, 10:47 a.m.