Triple

T24098578
Position Surface form Disambiguated ID Type / Status
Subject Yaki Kadafi E596996 entity
Predicate sharesMusicalAffiliationWith P130983 FINISHED
Object Death Row Records artists 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: Death Row Records artists | Statement: [Yaki Kadafi, sharesMusicalAffiliationWith, Death Row Records artists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesMusicalAffiliationWith
Context triple: [Yaki Kadafi, sharesMusicalAffiliationWith, Death Row Records artists]
  • A. musicalAssociation chosen
    Indicates a relationship where entities are connected through music, such as collaboration, influence, shared performance, or other musically relevant association.
  • B. sharesBandWith
    Indicates that two entities are members of at least one of the same musical bands.
  • C. musicalArtistAssociated
    Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
  • D. musicalCollaborator
    Indicates a relationship where two or more entities work together in creating, performing, or producing music.
  • E. sharesMusiciansWith
    Indicates that two musical groups or acts have one or more musicians in common.
  • 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_69e288c548048190a5c1018da1166a21 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dd2717d881909d1d0b270b758643 completed April 29, 2026, 10:27 a.m.
PD Predicate disambiguation batch_69f17651458c8190bbfd301883e46085 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 10:59 p.m.