Triple

T20636584
Position Surface form Disambiguated ID Type / Status
Subject Cornelis van der Spek E507097 entity
Predicate hasNamePart P5298 FINISHED
Object van der Spek
Van der Spek is a Dutch surname of likely toponymic origin, borne by various individuals including the Dutch figure Cornelis van der Spek.
 E1442349 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 Spek | Statement: [Cornelis van der Spek, hasNamePart, van der Spek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van der Spek
Context triple: [Cornelis van der Spek, hasNamePart, van der Spek]
  • A. van Zuytbrouck
    van Zuytbrouck is a Dutch-origin surname historically borne by individuals such as Neeltgen Willemsdr. van Zuytbrouck.
  • B. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • C. van der Heyden
    Van der Heyden is a Dutch-origin surname associated with various notable individuals in fields such as art, politics, and sports.
  • D. van der Leck
    Van der Leck is a Dutch surname most notably associated with painter and De Stijl co-founder Bart van der Leck.
  • E. van Deurs
    van Deurs is a Danish surname most notably borne by Birgitte Eva van Deurs, a figure associated with Denmark.
  • 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 Spek
Triple: [Cornelis van der Spek, hasNamePart, van der Spek]
Generated description
Van der Spek is a Dutch surname of likely toponymic origin, borne by various individuals including the Dutch figure Cornelis van der Spek.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van der Spek
Target entity description: Van der Spek is a Dutch surname of likely toponymic origin, borne by various individuals including the Dutch figure Cornelis van der Spek.
  • A. van Zuytbrouck
    van Zuytbrouck is a Dutch-origin surname historically borne by individuals such as Neeltgen Willemsdr. van Zuytbrouck.
  • B. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • C. van der Heyden
    Van der Heyden is a Dutch-origin surname associated with various notable individuals in fields such as art, politics, and sports.
  • D. van der Leck
    Van der Leck is a Dutch surname most notably associated with painter and De Stijl co-founder Bart van der Leck.
  • E. van Deurs
    van Deurs is a Danish surname most notably borne by Birgitte Eva van Deurs, a figure associated with Denmark.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad1089448190b936de6fd29c8350 completed April 20, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c585df208190becf0a78fad805f0 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c648e35881908c480b0afa383422 completed May 16, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6c6f9608190bdbcdd58f6b14008 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:42 a.m.