Triple

T8579239
Position Surface form Disambiguated ID Type / Status
Subject Luuk Tinbergen E203125 entity
Predicate givenName P17 FINISHED
Object Luuk
Luuk is a masculine given name of Dutch origin, commonly used in the Netherlands and Belgium.
 E744231 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: Luuk | Statement: [Luuk Tinbergen, givenName, Luuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luuk
Context triple: [Luuk Tinbergen, givenName, Luuk]
  • A. Lucas Conijn
    Lucas Conijn was a 17th-century Dutch militia officer portrayed as a key figure in Frans Hals’s group portrait “The Company of Captain Albert Bas and Lieutenant Lucas Conijn.”
  • B. Jeroen
    Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
  • C. Sander Loones
    Sander Loones is a Belgian politician and member of the New Flemish Alliance (N-VA) who has served in both national and European political roles.
  • D. Wouter
    Wouter is a Dutch historian of religion and leading scholar of Western esotericism.
  • E. Reinier
    Reinier is a Dutch masculine given name of Germanic origin, commonly used in the Netherlands and Belgium.
  • 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: Luuk
Triple: [Luuk Tinbergen, givenName, Luuk]
Generated description
Luuk is a masculine given name of Dutch origin, commonly used in the Netherlands and Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luuk
Target entity description: Luuk is a masculine given name of Dutch origin, commonly used in the Netherlands and Belgium.
  • A. Lucas Conijn
    Lucas Conijn was a 17th-century Dutch militia officer portrayed as a key figure in Frans Hals’s group portrait “The Company of Captain Albert Bas and Lieutenant Lucas Conijn.”
  • B. Jeroen
    Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
  • C. Sander Loones
    Sander Loones is a Belgian politician and member of the New Flemish Alliance (N-VA) who has served in both national and European political roles.
  • D. Wouter
    Wouter is a Dutch historian of religion and leading scholar of Western esotericism.
  • E. Reinier
    Reinier is a Dutch masculine given name of Germanic origin, commonly used in the Netherlands and Belgium.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9a0708819084cb8b8d84017864 completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89a5d18c81908a21cf5e5944d6e1 completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8ac1dba48190bbad47a762130aab completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8eae70008190b2c7bbe4ce8d4c0a completed April 2, 2026, 3:43 p.m.
Created at: March 30, 2026, 6:22 p.m.