Triple

T10047991
Position Surface form Disambiguated ID Type / Status
Subject Afrojack E207666 entity
Predicate birthName P65 FINISHED
Object Nick Leonardus van de Wall E240196 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: Nick Leonardus van de Wall | Statement: [Afrojack, birthName, Nick Leonardus van de Wall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Leonardus van de Wall
Context triple: [Afrojack, birthName, Nick Leonardus van de Wall]
  • A. Nick van de Wall chosen
    Nick van de Wall, better known as Afrojack, is a Dutch DJ and record producer recognized as one of the leading figures in contemporary electronic dance music.
  • B. John Verhoogen
    John Verhoogen was a prominent 20th-century geophysicist known for his influential work on the thermal and dynamic evolution of the Earth’s interior.
  • C. Peter De Vries
    Peter De Vries was an American novelist and humorist known for his witty, satirical fiction and contributions to The New Yorker.
  • D. Leonardo Zeevaert
    Leonardo Zeevaert was a prominent Mexican civil and structural engineer renowned for pioneering earthquake-resistant design and foundation engineering in Mexico.
  • E. Jos Wienen
    Jos Wienen is a Dutch politician who serves as the mayor of the city of Haarlem in the Netherlands.
  • 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_69d2828f3980819083d041f09e63d8e6 completed April 5, 2026, 3:41 p.m.
Created at: March 30, 2026, 8:56 p.m.