Triple

T4586453
Position Surface form Disambiguated ID Type / Status
Subject Volksunie E101978 entity
Predicate foundedBy P104 FINISHED
Object Maurits Coppieters
Maurits Coppieters was a prominent Flemish nationalist politician and intellectual who played a key role in shaping postwar Flemish autonomy movements in Belgium.
E455413 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: Maurits Coppieters | Statement: [Volksunie, foundedBy, Maurits Coppieters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurits Coppieters
Context triple: [Volksunie, foundedBy, Maurits Coppieters]
  • A. Theo de Meester
    Theo de Meester was a Dutch liberal politician who served as Prime Minister of the Netherlands in the early 20th century.
  • B. Jef Martens
    Jef Martens is a Belgian DJ, record producer, and songwriter best known for his work in electronic dance music and collaborations on international pop hits.
  • C. Rogier Stoffers
    Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
  • D. Daniël Stalpaert
    Daniël Stalpaert was a 17th-century Dutch architect and city planner known for his influential role in shaping Amsterdam’s urban landscape.
  • E. Leo Geurts
    Leo Geurts was a Dutch computer scientist known for co-developing the ABC programming language, an influential precursor to Python.
  • 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: Maurits Coppieters
Triple: [Volksunie, foundedBy, Maurits Coppieters]
Generated description
Maurits Coppieters was a prominent Flemish nationalist politician and intellectual who played a key role in shaping postwar Flemish autonomy movements in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maurits Coppieters
Target entity description: Maurits Coppieters was a prominent Flemish nationalist politician and intellectual who played a key role in shaping postwar Flemish autonomy movements in Belgium.
  • A. Theo de Meester
    Theo de Meester was a Dutch liberal politician who served as Prime Minister of the Netherlands in the early 20th century.
  • B. Jef Martens
    Jef Martens is a Belgian DJ, record producer, and songwriter best known for his work in electronic dance music and collaborations on international pop hits.
  • C. Rogier Stoffers
    Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
  • D. Daniël Stalpaert
    Daniël Stalpaert was a 17th-century Dutch architect and city planner known for his influential role in shaping Amsterdam’s urban landscape.
  • E. Leo Geurts
    Leo Geurts was a Dutch computer scientist known for co-developing the ABC programming language, an influential precursor to Python.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5906a43c81908fb11bf8f94be122 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0aa114881909fe446bf86c675e7 completed March 21, 2026, 12:04 a.m.
NEDg Description generation batch_69bde14843148190a0b5fa0ad1d805d9 completed March 21, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69bde1b2efb48190a5ab83fa6c257df2 completed March 21, 2026, 12:09 a.m.
Created at: March 20, 2026, 1:10 p.m.