Triple

T3891898
Position Surface form Disambiguated ID Type / Status
Subject Jozias van Aartsen E88080 entity
Predicate familyName P18 FINISHED
Object van Aartsen
Van Aartsen is a Dutch surname most prominently associated with Jozias van Aartsen, a notable Dutch politician and former mayor of The Hague.
 E397460 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 Aartsen | Statement: [Jozias van Aartsen, familyName, van Aartsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van Aartsen
Context triple: [Jozias van Aartsen, familyName, van Aartsen]
  • A. van Amsberg
    Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
  • B. van der Meer
    Van der Meer is a Dutch surname borne by several notable individuals, including Nobel Prize–winning physicist Simon van der Meer.
  • C. van Eesteren
    Van Eesteren is a Dutch surname most notably associated with Cornelis van Eesteren, an influential modernist architect and urban planner.
  • D. van Egeraat
    van Egeraat is a Dutch surname most prominently associated with architect Erik van Egeraat.
  • E. C. M. van den Heever
    C. M. van den Heever was a prominent Afrikaans poet, novelist, and critic associated with the influential Dertigers literary movement in South Africa.
  • 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 Aartsen
Triple: [Jozias van Aartsen, familyName, van Aartsen]
Generated description
Van Aartsen is a Dutch surname most prominently associated with Jozias van Aartsen, a notable Dutch politician and former mayor of The Hague.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van Aartsen
Target entity description: Van Aartsen is a Dutch surname most prominently associated with Jozias van Aartsen, a notable Dutch politician and former mayor of The Hague.
  • A. van Amsberg
    Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
  • B. van der Meer
    Van der Meer is a Dutch surname borne by several notable individuals, including Nobel Prize–winning physicist Simon van der Meer.
  • C. van Eesteren
    Van Eesteren is a Dutch surname most notably associated with Cornelis van Eesteren, an influential modernist architect and urban planner.
  • D. van Egeraat
    van Egeraat is a Dutch surname most prominently associated with architect Erik van Egeraat.
  • E. C. M. van den Heever
    C. M. van den Heever was a prominent Afrikaans poet, novelist, and critic associated with the influential Dertigers literary movement in South Africa.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb237748190a4d41b76e8efd0ba completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c9484f08190b47eec550e521da5 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d9295908190a282d9b3f1cbb34c completed March 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69b51e1d6d988190b2c1a3f42964aaaa completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:21 p.m.