Triple

T16953756
Position Surface form Disambiguated ID Type / Status
Subject Tiësto E411244 entity
Predicate associatedAct P37 FINISHED
Object Hardwell 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: Hardwell | Statement: [Tiësto, associatedAct, Hardwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardwell
Context triple: [Tiësto, associatedAct, Hardwell]
  • A. Hardwell chosen
    Hardwell is a Dutch DJ and electronic music producer known for his big-room house tracks, high-energy festival performances, and former status as one of the world’s top-ranked DJs.
  • B. Martin Garrix
    Martin Garrix is a Dutch DJ and electronic music producer known for global EDM hits like "Animals" and for headlining major festivals worldwide.
  • C. Alesso
    Alesso is a Swedish DJ and electronic dance music producer known for his melodic progressive house tracks and high-profile collaborations.
  • D. Remy van Buuren
    Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
  • E. Axwell
    Axwell is a Swedish DJ, record producer, and member of the supergroup Swedish House Mafia, known for his influential role in the global house music scene.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01b04e88190a72735541b3bb117 completed April 18, 2026, 6:40 p.m.
Created at: April 10, 2026, 5:31 a.m.