Triple

T18232637
Position Surface form Disambiguated ID Type / Status
Subject Murphy's Law E436581 entity
Predicate producer P490 FINISHED
Object Jazze Pha NE NERFINISHED

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: [Murphy's Law, producer, Jazze Pha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jazze Pha
Context triple: [Murphy's Law, 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 (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b414308190bc7dd8e73c0a362c completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.