Triple

T8421058
Position Surface form Disambiguated ID Type / Status
Subject One Wish E198850 entity
Predicate musicVideoDirector P4911 FINISHED
Object Ray Kay E128200 NE 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: Ray Kay | Statement: [One Wish, musicVideoDirector, Ray Kay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Kay
Context triple: [One Wish, musicVideoDirector, Ray Kay]
  • A. Ray Kay chosen
    Ray Kay is a Norwegian music video director known for creating visually striking videos for numerous high-profile pop and R&B artists.
  • B. Ray Knight
    Ray Knight is a former Major League Baseball third baseman and manager best known for his clutch performance with the New York Mets, including earning MVP honors in the 1986 World Series.
  • C. Sean Kingston
    Sean Kingston is a Jamaican-American singer and songwriter best known for his 2007 hit single "Beautiful Girls" and his blend of reggae, pop, and R&B music.
  • D. Tay Keith
    Tay Keith is an American record producer and songwriter best known for crafting hard-hitting trap beats for artists like Drake, Travis Scott, and Lil Baby.
  • E. Akon
    Akon is a Senegalese-American singer, songwriter, and producer known for his distinctive R&B and hip-hop hits and numerous high-profile collaborations in the 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84ca7b348190abab25e79b05407f completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035279f48190861b97167fa3882c completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:06 p.m.