Triple

T8776676
Position Surface form Disambiguated ID Type / Status
Subject Til the Casket Drops E208600 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: [Til the Casket Drops, producer, DJ Khalil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DJ Khalil
Context triple: [Til the Casket Drops, 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 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.
  • E. Khalil Kain
    Khalil Kain is an American actor best known for his roles in films like "Juice" and "Love Jones" and for playing Darnell Wilkes on the television series "Girlfriends."
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f5086088190b317cf2aac7bee83 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51ceee2c81908d521cc4931e25dd completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.