Triple

T6075475
Position Surface form Disambiguated ID Type / Status
Subject Everdine Huberta van Wijnbergen E135389 entity
Predicate familyName P18 FINISHED
Object van Wijnbergen
Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
 E565607 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 Wijnbergen | Statement: [Everdine Huberta van Wijnbergen, familyName, van Wijnbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van Wijnbergen
Context triple: [Everdine Huberta van Wijnbergen, familyName, van Wijnbergen]
  • A. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • B. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • C. Jan van der Linden
    Jan van der Linden was an architect known for his role in designing Los Angeles’ historic Union Station.
  • D. Jan van der Vliet
    Jan van der Vliet was a Dutch artist associated with the Delft painters’ Guild of Saint Luke during the Dutch Golden Age.
  • E. van Eesteren
    Van Eesteren is a Dutch surname most notably associated with Cornelis van Eesteren, an influential modernist architect and urban planner.
  • 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 Wijnbergen
Triple: [Everdine Huberta van Wijnbergen, familyName, van Wijnbergen]
Generated description
Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van Wijnbergen
Target entity description: Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • A. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • B. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • C. Jan van der Linden
    Jan van der Linden was an architect known for his role in designing Los Angeles’ historic Union Station.
  • D. Jan van der Vliet
    Jan van der Vliet was a Dutch artist associated with the Delft painters’ Guild of Saint Luke during the Dutch Golden Age.
  • E. van Eesteren
    Van Eesteren is a Dutch surname most notably associated with Cornelis van Eesteren, an influential modernist architect and urban planner.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575ec63081908a868a41855acf73 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d43f7908190845c2337cd243a3c completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11db0b62c81908584215a5092a7a8 completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11e4685d08190ac97e2356e64527e completed March 23, 2026, 11:04 a.m.
Created at: March 22, 2026, 4:11 p.m.