Triple

T18876147
Position Surface form Disambiguated ID Type / Status
Subject Coletta van den Keere E461691 entity
Predicate familyName P18 FINISHED
Object van den Keere
van den Keere is a Flemish surname historically associated with artists and engravers from the Low Countries.
 E1346733 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 Keere | Statement: [Coletta van den Keere, familyName, van den Keere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van den Keere
Context triple: [Coletta van den Keere, familyName, van den Keere]
  • A. van Reigersberch
    Van Reigersberch is a Dutch surname historically associated with notable figures in the Netherlands, particularly in political and legal circles of the early modern period.
  • B. van den Bogaerde
    van den Bogaerde is the original Dutch family name of the British actor and writer Dirk Bogarde.
  • C. Karel Van Wijnendaele
    Karel Van Wijnendaele was a Belgian sports journalist and cycling pioneer who played a key role in popularizing road racing in Flanders.
  • D. Wouter Vandenhaute
    Wouter Vandenhaute is a Belgian businessman and media entrepreneur best known for his leadership role at top football club R.S.C. Anderlecht.
  • E. van Zuytbrouck
    van Zuytbrouck is a Dutch-origin surname historically borne by individuals such as Neeltgen Willemsdr. van Zuytbrouck.
  • 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 Keere
Triple: [Coletta van den Keere, familyName, van den Keere]
Generated description
van den Keere is a Flemish surname historically associated with artists and engravers from the Low Countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van den Keere
Target entity description: van den Keere is a Flemish surname historically associated with artists and engravers from the Low Countries.
  • A. van Reigersberch
    Van Reigersberch is a Dutch surname historically associated with notable figures in the Netherlands, particularly in political and legal circles of the early modern period.
  • B. van den Bogaerde
    van den Bogaerde is the original Dutch family name of the British actor and writer Dirk Bogarde.
  • C. Karel Van Wijnendaele
    Karel Van Wijnendaele was a Belgian sports journalist and cycling pioneer who played a key role in popularizing road racing in Flanders.
  • D. Wouter Vandenhaute
    Wouter Vandenhaute is a Belgian businessman and media entrepreneur best known for his leadership role at top football club R.S.C. Anderlecht.
  • E. van Zuytbrouck
    van Zuytbrouck is a Dutch-origin surname historically borne by individuals such as Neeltgen Willemsdr. van Zuytbrouck.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3ce07788190a179705eb1b6c824 completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575c1c96c81908f37578b29455e82 completed May 14, 2026, 7:12 a.m.
NEDg Description generation batch_6a0576af871481909ab3b9c90f9c1220 completed May 14, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05777f51b481909a7916bc40dcfd69 completed May 14, 2026, 7:19 a.m.
Created at: April 10, 2026, 11:57 a.m.