Triple

T15825407
Position Surface form Disambiguated ID Type / Status
Subject Hendrik van den Bergh E383727 entity
Predicate familyName P18 FINISHED
Object van den Bergh
Van den Bergh is a Dutch-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
 E1178738 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 den Bergh | Statement: [Hendrik van den Bergh, familyName, van den Bergh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van den Bergh
Context triple: [Hendrik van den Bergh, familyName, van den Bergh]
  • A. van den Bogaerde
    van den Bogaerde is the original Dutch family name of the British actor and writer Dirk Bogarde.
  • B. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • C. van de Velde
    Van de Velde is a Dutch surname borne by several notable figures, including artists, designers, and writers from the Low Countries.
  • D. 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.
  • E. 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.
  • 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 den Bergh
Triple: [Hendrik van den Bergh, familyName, van den Bergh]
Generated description
Van den Bergh is a Dutch-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van den Bergh
Target entity description: Van den Bergh is a Dutch-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
  • A. van den Bogaerde
    van den Bogaerde is the original Dutch family name of the British actor and writer Dirk Bogarde.
  • B. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • C. van de Velde
    Van de Velde is a Dutch surname borne by several notable figures, including artists, designers, and writers from the Low Countries.
  • D. 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.
  • E. 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.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e602e5481908baa71c3d9b2008f completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999da5008190921b3f129787999e completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9a82cadc8190a57f40062d29a998 completed May 9, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69ff9b5dbf80819085fdfcdff424511b completed May 9, 2026, 8:38 p.m.
Created at: April 10, 2026, 4:49 a.m.