Triple

T9440573
Position Surface form Disambiguated ID Type / Status
Subject Coosje van Bruggen E227633 entity
Predicate familyName P18 FINISHED
Object van Bruggen
Van Bruggen is a Dutch surname most notably associated with Coosje van Bruggen, a prominent sculptor and art historian known for her large-scale public art collaborations.
 E798915 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 Bruggen | Statement: [Coosje van Bruggen, familyName, van Bruggen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van Bruggen
Context triple: [Coosje van Bruggen, familyName, van Bruggen]
  • A. van Heutsz
    Van Heutsz is a Dutch surname most prominently associated with Johannes Benedictus van Heutsz, a colonial military leader and Governor-General of the Dutch East Indies.
  • B. van Egeraat
    van Egeraat is a Dutch surname most prominently associated with architect Erik van Egeraat.
  • C. 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.
  • D. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • E. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • 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 Bruggen
Triple: [Coosje van Bruggen, familyName, van Bruggen]
Generated description
Van Bruggen is a Dutch surname most notably associated with Coosje van Bruggen, a prominent sculptor and art historian known for her large-scale public art collaborations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van Bruggen
Target entity description: Van Bruggen is a Dutch surname most notably associated with Coosje van Bruggen, a prominent sculptor and art historian known for her large-scale public art collaborations.
  • A. van Heutsz
    Van Heutsz is a Dutch surname most prominently associated with Johannes Benedictus van Heutsz, a colonial military leader and Governor-General of the Dutch East Indies.
  • B. van Egeraat
    van Egeraat is a Dutch surname most prominently associated with architect Erik van Egeraat.
  • C. 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.
  • D. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • E. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee36f908190826994db91b18466 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1105dc6b48190bd6c7d932d9f48d5 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d1112e140c8190ad6d9b3a25d48af7 completed April 4, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69d111b6c1d881909eb555a6a524c6db completed April 4, 2026, 1:27 p.m.
Created at: March 30, 2026, 7:50 p.m.