Triple

T5993288
Position Surface form Disambiguated ID Type / Status
Subject A-Trak E133402 entity
Predicate associatedAct P37 FINISHED
Object Armand Van Helden E401468 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: Armand Van Helden | Statement: [A-Trak, associatedAct, Armand Van Helden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armand Van Helden
Context triple: [A-Trak, associatedAct, Armand Van Helden]
  • A. Armand Van Helden chosen
    Armand Van Helden is an American DJ, producer, and remixer known as a leading figure in house music since the 1990s, with hits like "You Don't Know Me" and "My My My."
  • B. Mr. Fingers
    Mr. Fingers is the influential house music alias of Chicago producer Larry Heard, renowned for pioneering deep house with tracks like "Can You Feel It."
  • C. Benny Benassi
    Benny Benassi is an Italian DJ and record producer best known for his influential electro house hits like "Satisfaction."
  • D. A-Trak
    A-Trak is a Canadian DJ, turntablist, and record producer known for his championship-level scratching skills and influential work in electronic and hip-hop music.
  • E. Matthew Herbert
    Matthew Herbert is an experimental British musician and producer known for his innovative use of found sounds and unconventional recording techniques in electronic and jazz-influenced music.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e9189908190abc9c742b38dfabc completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108685f788190aa3f84e56837b195 completed March 23, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:05 p.m.