Triple

T22535792
Position Surface form Disambiguated ID Type / Status
Subject Dead Presidents II E557148 entity
Predicate sampleSourceProducer P30366 FINISHED
Object Pete Rock 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: Pete Rock | Statement: [Dead Presidents II, sampleSourceProducer, Pete Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Rock
Context triple: [Dead Presidents II, sampleSourceProducer, Pete Rock]
  • A. Pete Rock chosen
    Pete Rock is an influential American hip hop producer and DJ known for his soulful, jazz-infused beats and classic 1990s collaborations.
  • B. KRS-One
    KRS-One is an American rapper and activist known as a pioneering figure in conscious hip-hop and a founding member of Boogie Down Productions.
  • C. Grandmaster Flash
    Grandmaster Flash is a pioneering hip-hop DJ and turntablist widely credited with innovating techniques like cutting, backspinning, and scratching that helped define the genre.
  • D. Pete Rock & CL Smooth
    Pete Rock & CL Smooth are a renowned 1990s hip hop duo known for their jazz-infused production and socially conscious, smooth lyricism.
  • E. DJ Akademiks
    DJ Akademiks is a Jamaican-American media personality and hip-hop commentator known for his YouTube coverage of rap news, online beefs, and cultural controversies.
  • 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_69f15edad0248190b990ddffbc786e05 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.