Triple

T10848146
Position Surface form Disambiguated ID Type / Status
Subject MNEK E256069 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Tiësto E814613 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: Tiësto | Statement: [MNEK, hasCollaboratedWith, Tiësto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiësto
Context triple: [MNEK, hasCollaboratedWith, Tiësto]
  • A. Tiësto chosen
    Tiësto is a Dutch DJ and record producer widely regarded as one of the most influential figures in electronic dance music.
  • B. Armin van Buuren
    Armin van Buuren is a Dutch DJ, record producer, and radio show host widely recognized as one of the leading figures in trance and electronic dance music.
  • C. 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.
  • D. Remy van Buuren
    Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
  • E. Eric Prydz
    Eric Prydz is a Swedish DJ and producer renowned for his progressive house anthems like "Call on Me" and "Opus" and his innovative, visually immersive live shows.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.