Triple

T16527184
Position Surface form Disambiguated ID Type / Status
Subject Crookers E401470 entity
Predicate notableRemixFor P66064 FINISHED
Object Benny Benassi E206277 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: Benny Benassi | Statement: [Crookers, notableRemixFor, Benny Benassi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benny Benassi
Context triple: [Crookers, notableRemixFor, Benny Benassi]
  • A. Benny Benassi chosen
    Benny Benassi is an Italian DJ and record producer best known for his influential electro house hits like "Satisfaction."
  • B. Gui Boratto
    Gui Boratto is a Brazilian electronic music producer and DJ known for his melodic techno and house productions and remixes.
  • C. Massimo Serato
    Massimo Serato was an Italian film actor known for his prolific career in European cinema from the 1940s through the 1970s.
  • D. 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.
  • E. William Orbit
    William Orbit is a British record producer and composer renowned for his innovative electronic soundscapes and influential collaborations with major pop artists, including his work on Madonna’s acclaimed album "Ray of Light."
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed4b8a08190b5f179fc583001a6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed808448190936ea51a9a28a95a completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:14 a.m.