Triple

T21019561
Position Surface form Disambiguated ID Type / Status
Subject Thug World Order E517770 entity
Predicate producer P490 FINISHED
Object Darren Vegas 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: Darren Vegas | Statement: [Thug World Order, producer, Darren Vegas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darren Vegas
Context triple: [Thug World Order, producer, Darren Vegas]
  • A. Darren Vegas chosen
    Darren Vegas is a hip-hop music producer best known for his work on 2Pac’s posthumous album "Until the End of Time."
  • B. Paul van Dyk
    Paul van Dyk is a German DJ and producer widely regarded as one of the pioneers and leading figures of the trance music genre.
  • C. Paul Oakenfold
    Paul Oakenfold is a pioneering British DJ and record producer known for popularizing trance music worldwide and remixing major artists across electronic and pop genres.
  • D. Benny Benassi
    Benny Benassi is an Italian DJ and record producer best known for his influential electro house hits like "Satisfaction."
  • E. Louie Vega
    Louie Vega is a renowned American DJ and producer, best known as one half of the influential house music duo Masters at Work.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5b6af4819081fd3aa5212f17a5 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.