Triple

T16953758
Position Surface form Disambiguated ID Type / Status
Subject Tiësto E411244 entity
Predicate associatedAct P37 FINISHED
Object Afrojack E207666 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: Afrojack | Statement: [Tiësto, associatedAct, Afrojack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afrojack
Context triple: [Tiësto, associatedAct, Afrojack]
  • A. Afrojack chosen
    Afrojack is a Dutch DJ and electronic music producer known for his influential role in the EDM scene and numerous international club hits.
  • B. Alesso
    Alesso is a Swedish DJ and electronic dance music producer known for his melodic progressive house tracks and high-profile collaborations.
  • C. Gui Boratto
    Gui Boratto is a Brazilian electronic music producer and DJ known for his melodic techno and house productions and remixes.
  • D. Felix Jaehn
    Felix Jaehn is a German DJ and record producer best known internationally for his tropical house remix of "Cheerleader" and other chart-topping dance tracks.
  • E. Jake One
    Jake One is an American hip-hop record producer known for his soulful, sample-based beats and work with artists across the underground and mainstream rap scenes.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01b04e88190a72735541b3bb117 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d464762c8190a734ffdd83633f70 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.