Triple

T20583362
Position Surface form Disambiguated ID Type / Status
Subject Cornelis van der Wal E505718 entity
Predicate familyName P18 FINISHED
Object van der Wal
Van der Wal is a Dutch surname borne by various notable individuals, including figures in politics, sports, and the arts.
 E1438495 NE FINISHED

How this triple was built (4 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: van der Wal | Statement: [Cornelis van der Wal, familyName, van der Wal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van der Wal
Context triple: [Cornelis van der Wal, familyName, van der Wal]
  • A. van der Meer
    Van der Meer is a Dutch surname borne by several notable individuals, including Nobel Prize–winning physicist Simon van der Meer.
  • B. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • C. van der Garde
    Van der Garde is a Dutch surname most notably associated with racing driver Giedo van der Garde, who competed in Formula One.
  • D. van der Heyden
    Van der Heyden is a Dutch-origin surname associated with various notable individuals in fields such as art, politics, and sports.
  • E. van Riemsdijk
    Van Riemsdijk is a Dutch surname associated with several notable figures, including colonial administrators and scholars from the Netherlands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: van der Wal
Triple: [Cornelis van der Wal, familyName, van der Wal]
Generated description
Van der Wal is a Dutch surname borne by various notable individuals, including figures in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van der Wal
Target entity description: Van der Wal is a Dutch surname borne by various notable individuals, including figures in politics, sports, and the arts.
  • A. van der Meer
    Van der Meer is a Dutch surname borne by several notable individuals, including Nobel Prize–winning physicist Simon van der Meer.
  • B. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • C. van der Garde
    Van der Garde is a Dutch surname most notably associated with racing driver Giedo van der Garde, who competed in Formula One.
  • D. van der Heyden
    Van der Heyden is a Dutch-origin surname associated with various notable individuals in fields such as art, politics, and sports.
  • E. van Riemsdijk
    Van Riemsdijk is a Dutch surname associated with several notable figures, including colonial administrators and scholars from the Netherlands.
  • F. None of above. chosen

Provenance (5 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a974ee4c819099310b46885a5597 completed April 20, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08acecf4d8819093280bbcd43150d4 completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08ad96b2a081908d32e335c5265eec completed May 16, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08ae19eca08190ada48b48105be62d completed May 16, 2026, 5:49 p.m.
Created at: April 16, 2026, 11:40 a.m.