Triple

T20334456
Position Surface form Disambiguated ID Type / Status
Subject Kima, Keisha & Pam E492568 entity
Predicate featuresArtist P1952 FINISHED
Object Da Brat 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: Da Brat | Statement: [Kima, Keisha & Pam, featuresArtist, Da Brat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Da Brat
Context triple: [Kima, Keisha & Pam, featuresArtist, Da Brat]
  • A. Da Brat chosen
    Da Brat is an American rapper and actress known as one of the first prominent female MCs in hip hop, rising to fame in the 1990s with her platinum-selling debut album "Funkdafied."
  • B. Mase
    Mase is an American rapper and songwriter best known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good" and "What You Want."
  • C. Mase
    Mase is a surname most notably associated with Evelyn Mase, the first wife of Nelson Mandela.
  • D. Afeni Shakur
    Afeni Shakur was an American political activist and former Black Panther best known as the mother of rapper Tupac Shakur and as the executor and guardian of his artistic legacy.
  • E. Ludacris
    Ludacris is an American rapper, actor, and entrepreneur known for his witty Southern hip hop style and roles in the Fast & Furious film franchise.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ea8a088190b2b37accd6b24277 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:23 a.m.