Triple

T17202871
Position Surface form Disambiguated ID Type / Status
Subject Remy van Buuren E417522 entity
Predicate hasParent P120 FINISHED
Object Armin van Buuren 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: Armin van Buuren | Statement: [Remy van Buuren, hasParent, Armin van Buuren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armin van Buuren
Context triple: [Remy van Buuren, hasParent, Armin van Buuren]
  • A. Armin van Buuren chosen
    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.
  • B. Tiësto
    Tiësto is a Dutch DJ and record producer widely regarded as one of the most influential figures in electronic dance music.
  • C. Remy van Buuren
    Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
  • D. Markus Schulz
    Markus Schulz is a German-American DJ and producer renowned for his melodic trance sound and as the founder of the Coldharbour Recordings label.
  • E. 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.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42db11fc881908291bf29cc740e09 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 5:38 a.m.