Triple

T3598844
Position Surface form Disambiguated ID Type / Status
Subject No Limit Top Dogg E76205 entity
Predicate producer P490 FINISHED
Object Beats By the Pound E369704 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: Beats By the Pound | Statement: [No Limit Top Dogg, producer, Beats By the Pound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beats By the Pound
Context triple: [No Limit Top Dogg, producer, Beats By the Pound]
  • A. Beats By the Pound chosen
    Beats By the Pound is a renowned New Orleans–based production team best known for crafting the signature sound of Master P’s No Limit Records during the late 1990s.
  • B. Beats International
    Beats International was a late-1980s/early-1990s British electronic dance music collective led by Norman Cook (later known as Fatboy Slim), best known for their hit single "Dub Be Good to Me."
  • C. Beats by Dre
    Beats by Dre is a popular audio brand known for its stylish, bass-heavy headphones and speakers, founded by Dr. Dre and Jimmy Iovine and later acquired by Apple.
  • D. Bose
    Bose is a common Indian surname most prominently associated with physicist Satyendra Nath Bose, whose work led to the concept of bosons and Bose–Einstein statistics.
  • E. BBE
    BBE is an academic division at the California Institute of Technology focused on research and education in biology and biological engineering.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19e9e98819094455cb3c4efcb9a completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b40316ebdc819088eb21b7087fb7e7 completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.