Triple

T22536513
Position Surface form Disambiguated ID Type / Status
Subject Nigga What, Nigga Who (Originator 99) E557169 entity
Predicate performer P1363 FINISHED
Object Big Jaz 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: Big Jaz | Statement: [Nigga What, Nigga Who (Originator 99), performer, Big Jaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Jaz
Context triple: [Nigga What, Nigga Who (Originator 99), performer, Big Jaz]
  • A. Big Jaz chosen
    Big Jaz, also known as Jaz-O, is an American rapper and producer best known as an early mentor and collaborator of Jay-Z in the late 1980s and 1990s.
  • B. Big Jazza McGlone
    Big Jazza McGlone is a fictional character from the British television drama series "Tutti Frutti," known for its gritty portrayal of the Scottish rock music scene.
  • C. Big J
    Big J is the affectionate nickname for the USS New Jersey (BB-62), a famed Iowa-class battleship now preserved as a museum and memorial.
  • D. Jazze Pha
    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.
  • E. Juggy D
    Juggy D is a British-Indian Punjabi singer known for his contributions to the UK bhangra and Asian underground music scenes.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15edbd1ec81908ef26b9e442d1921 completed April 29, 2026, 1:29 a.m.
Created at: April 16, 2026, 8:51 p.m.