Triple

T10048021
Position Surface form Disambiguated ID Type / Status
Subject Afrojack E207666 entity
Predicate associatedAct P37 FINISHED
Object Hardwell E737541 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: Hardwell | Statement: [Afrojack, associatedAct, Hardwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardwell
Context triple: [Afrojack, 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. Remy van Buuren
    Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
  • D. Oliver Heldens
    Oliver Heldens is a Dutch DJ and electronic music producer known for pioneering the future house genre and releasing international hits like "Gecko (Overdrive)."
  • E. Tiësto
    Tiësto is a Dutch DJ and record producer widely regarded as one of the most influential figures in electronic dance 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf664dd881908786fcd802bf10da completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a4064a48190b4fdb6bf3ea5af05 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:56 p.m.