Triple

T14103233
Position Surface form Disambiguated ID Type / Status
Subject Bow Down (1996) E339434 entity
Predicate producer P490 FINISHED
Object Jazze Pha E240603 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: Jazze Pha | Statement: [Bow Down (1996), producer, Jazze Pha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jazze Pha
Context triple: [Bow Down (1996), producer, Jazze Pha]
  • A. Jazze Pha chosen
    Jazze Pha is an American hip hop and R&B record producer and songwriter known for his smooth, melodic Southern sound and collaborations with numerous mainstream artists.
  • B. Rahzel
    Rahzel is an American beatboxer and vocal percussionist renowned for his innovative ability to simultaneously sing and beatbox, and for his prominent work with the hip hop group The Roots.
  • C. Pharoahe Monch
    Pharoahe Monch is an American rapper and lyricist known for his complex wordplay, intricate rhyme schemes, and influential work in underground hip-hop.
  • D. DJ Jazzy Jeff
    DJ Jazzy Jeff is an American DJ, record producer, and turntablist best known for his pioneering work in hip hop and his partnership with Will Smith as DJ Jazzy Jeff & The Fresh Prince.
  • E. Phat E
    Phat E is a music producer best known for his work on the television sitcom "The King of Queens."
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c255d8c81908bdac0a28718563e completed May 8, 2026, 2:36 a.m.
Created at: April 9, 2026, 10:22 p.m.