Triple

T13695985
Position Surface form Disambiguated ID Type / Status
Subject The Weatherman LP E328385 entity
Predicate producer P490 FINISHED
Object DJ Khalil E86161 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: DJ Khalil | Statement: [The Weatherman LP, producer, DJ Khalil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DJ Khalil
Context triple: [The Weatherman LP, producer, DJ Khalil]
  • A. DJ Khalil chosen
    DJ Khalil is an American record producer and songwriter known for his atmospheric, hard-hitting hip-hop and R&B productions for major artists across the industry.
  • B. DJ Khaled
    DJ Khaled is an American DJ, record producer, and media personality known for his star-studded hip-hop collaborations and catchphrases like "Another one."
  • C. DJ Kayslay
    DJ Kay Slay was an influential New York hip-hop DJ and mixtape pioneer known for his street-centric tapes, radio shows, and collaborations with major rap artists.
  • D. DJ Kaywise
    DJ Kaywise is a popular Nigerian disc jockey and music producer known for his hit street anthems, mixtapes, and collaborations with top Afrobeats artists.
  • E. DJ Dahi
    DJ Dahi is an American record producer and DJ known for his innovative, genre-blending work with major hip-hop and R&B artists.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79453395481909d651cb3a128f23d completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.