Triple

T8427377
Position Surface form Disambiguated ID Type / Status
Subject Turn Me On E199034 entity
Predicate lyricist P1360 FINISHED
Object Nicki Minaj E64115 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: Nicki Minaj | Statement: [Turn Me On, lyricist, Nicki Minaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicki Minaj
Context triple: [Turn Me On, lyricist, Nicki Minaj]
  • A. Nicki Minaj chosen
    Nicki Minaj is a Trinidadian-born American rapper, singer, and songwriter known for her animated flow, alter egos, and major influence on contemporary hip hop and pop music.
  • B. Cardi B
    Cardi B is an American rapper, songwriter, and media personality known for her chart-topping hits, outspoken persona, and significant impact on contemporary hip hop.
  • C. Nicki
    Nicki is a professional basketball coach best known for her work in women's basketball, including in the WNBA and NCAA.
  • D. Remy Ma
    Remy Ma is an American rapper from the Bronx known for her sharp lyricism, prominent role in early-2000s hip-hop, and membership in Fat Joe’s Terror Squad.
  • E. Blac Chyna
    Blac Chyna is an American model, entrepreneur, and media personality known for her appearances in hip-hop music videos, reality television, and her high-profile relationships in the entertainment industry.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd124378c819086ea2fa6ecbfffe1 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4db8bd5481909bb41053832f60ba completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:07 p.m.