Triple

T3482027
Position Surface form Disambiguated ID Type / Status
Subject Jeroen Dijsselbloem E73513 entity
Predicate givenName P17 FINISHED
Object Jeroen
Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
 E360836 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: Jeroen | Statement: [Jeroen Dijsselbloem, givenName, Jeroen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeroen
Context triple: [Jeroen Dijsselbloem, givenName, Jeroen]
  • A. Jeroen Krabbé
    Jeroen Krabbé is a Dutch actor and director known internationally for his roles in films such as "The Living Daylights," "The Fugitive," and "Ocean's Twelve."
  • B. Yorick van Wageningen
    Yorick van Wageningen is a Dutch actor known internationally for his roles in films such as the 2011 adaptation of "The Girl with the Dragon Tattoo."
  • C. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • D. Joost Vos
    Joost Vos is a Dutch architect best known as a leading partner at the renowned architecture firm Benthem Crouwel Architekten, contributing to major public and infrastructural projects.
  • 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. 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: Jeroen
Triple: [Jeroen Dijsselbloem, givenName, Jeroen]
Generated description
Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeroen
Target entity description: Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
  • A. Jeroen Krabbé
    Jeroen Krabbé is a Dutch actor and director known internationally for his roles in films such as "The Living Daylights," "The Fugitive," and "Ocean's Twelve."
  • B. Yorick van Wageningen
    Yorick van Wageningen is a Dutch actor known internationally for his roles in films such as the 2011 adaptation of "The Girl with the Dragon Tattoo."
  • C. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • D. Joost Vos
    Joost Vos is a Dutch architect best known as a leading partner at the renowned architecture firm Benthem Crouwel Architekten, contributing to major public and infrastructural projects.
  • 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. 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368a242448190ac61e806b42a0cf3 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693bc26c819093ba7f9757ba0665 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.