Triple

T18624410
Position Surface form Disambiguated ID Type / Status
Subject Wivina Demeester E455241 entity
Predicate familyName P18 FINISHED
Object Demeester
Demeester is a surname of likely Flemish or Dutch origin borne by individuals such as Belgian politician Wivina Demeester.
E1334285 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: Demeester | Statement: [Wivina Demeester, familyName, Demeester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Demeester
Context triple: [Wivina Demeester, familyName, Demeester]
  • A. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • B. Bredius
    Bredius is a Dutch surname most notably associated with Abraham Bredius, a prominent art historian and expert on Dutch Golden Age painting.
  • C. Legmeer
    Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
  • D. Dahlkemper
    Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
  • E. Vriezekoop
    Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
  • 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: Demeester
Triple: [Wivina Demeester, familyName, Demeester]
Generated description
Demeester is a surname of likely Flemish or Dutch origin borne by individuals such as Belgian politician Wivina Demeester.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Demeester
Target entity description: Demeester is a surname of likely Flemish or Dutch origin borne by individuals such as Belgian politician Wivina Demeester.
  • A. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • B. Bredius
    Bredius is a Dutch surname most notably associated with Abraham Bredius, a prominent art historian and expert on Dutch Golden Age painting.
  • C. Legmeer
    Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
  • D. Dahlkemper
    Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
  • E. Vriezekoop
    Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f039b408190b51fe770a4c530ec completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d78359c8190bba366871b5ef4e4 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050e224e4881908ad55301bda567dc completed May 13, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a050ecc33e48190bc28430a6a771492 completed May 13, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:46 a.m.