Triple

T16953753
Position Surface form Disambiguated ID Type / Status
Subject Tiësto E411244 entity
Predicate alsoKnownAs P39 FINISHED
Object DJ Tiësto 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: DJ Tiësto | Statement: [Tiësto, alsoKnownAs, DJ Tiësto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DJ Tiësto
Context triple: [Tiësto, alsoKnownAs, DJ 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. Paul van Dyk
    Paul van Dyk is a German DJ and producer widely regarded as one of the pioneers and leading figures of the trance music genre.
  • D. Ferry Corsten
    Ferry Corsten is a Dutch DJ and producer renowned as a pioneering figure in trance music and a frequent collaborator with fellow trance artist Armin van Buuren.
  • 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_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.