Triple

T22652913
Position Surface form Disambiguated ID Type / Status
Subject Smif-N-Wessun E559140 entity
Predicate collaboratedWith P435 FINISHED
Object Da Beatminerz 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 Beatminerz | Statement: [Smif-N-Wessun, collaboratedWith, Da Beatminerz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Da Beatminerz
Context triple: [Smif-N-Wessun, collaboratedWith, Da Beatminerz]
  • A. Da Beatminerz chosen
    Da Beatminerz are a renowned Brooklyn-based hip hop production crew known for their dark, sample-heavy boom-bap sound and influential work with 1990s underground and East Coast rap artists.
  • B. The Beat
    The Beat, also known as The English Beat in North America, is a British ska and new wave band formed in the late 1970s and known for politically charged lyrics and danceable rhythms.
  • C. Beatnuts
    Beatnuts is a hip hop production duo and rap group from Queens, New York, known for their sample-heavy beats and underground party anthems.
  • D. Nasty Beatmakers
    Nasty Beatmakers is a hip-hop production duo known for crafting hard-hitting beats for prominent rap artists in the 2000s and 2010s.
  • E. Dead Beats
    Dead Beats is a comic book series written by Eric Palicki, known for its blend of music-themed storytelling and supernatural or horror elements.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703d7d648190aafe275cd04c47cf completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:06 p.m.