Triple

T6452627
Position Surface form Disambiguated ID Type / Status
Subject Paul-Henri Spaak E139906 entity
Predicate familyName P18 FINISHED
Object Spaak
Spaak is a Belgian surname most notably associated with Paul-Henri Spaak, a key statesman and founding figure of European integration.
E593731 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: Spaak | Statement: [Paul-Henri Spaak, familyName, Spaak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spaak
Context triple: [Paul-Henri Spaak, familyName, Spaak]
  • A. Halsema
    Halsema is a Dutch surname most prominently associated with Femke Halsema, a politician who became the first female mayor of Amsterdam.
  • B. De Wever
    De Wever is a Flemish surname most prominently associated with Belgian politician Bart De Wever, a leading figure in contemporary Flemish nationalism.
  • C. Jan Blankers
    Jan Blankers was a Dutch athletics coach and sports official, best known as the husband and trainer of Olympic champion Fanny Blankers-Koen.
  • D. Anton Mussert
    Anton Mussert was a Dutch fascist politician who co-founded and led the National Socialist Movement in the Netherlands and collaborated with Nazi Germany during World War II.
  • E. Timmermans
    Timmermans is a Dutch surname commonly associated with notable figures in politics, sports, and the arts in the Netherlands and Belgium.
  • 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: Spaak
Triple: [Paul-Henri Spaak, familyName, Spaak]
Generated description
Spaak is a Belgian surname most notably associated with Paul-Henri Spaak, a key statesman and founding figure of European integration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spaak
Target entity description: Spaak is a Belgian surname most notably associated with Paul-Henri Spaak, a key statesman and founding figure of European integration.
  • A. Halsema
    Halsema is a Dutch surname most prominently associated with Femke Halsema, a politician who became the first female mayor of Amsterdam.
  • B. De Wever
    De Wever is a Flemish surname most prominently associated with Belgian politician Bart De Wever, a leading figure in contemporary Flemish nationalism.
  • C. Jan Blankers
    Jan Blankers was a Dutch athletics coach and sports official, best known as the husband and trainer of Olympic champion Fanny Blankers-Koen.
  • D. Anton Mussert
    Anton Mussert was a Dutch fascist politician who co-founded and led the National Socialist Movement in the Netherlands and collaborated with Nazi Germany during World War II.
  • E. Timmermans
    Timmermans is a Dutch surname commonly associated with notable figures in politics, sports, and the arts in the Netherlands and Belgium.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b62cbc81908b7f1a0dc1ed3e1d completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd671d08190a24e8d666040bcc2 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64cc3f87081908e780fa21394b48e completed March 27, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c64d1f19448190b96759b5991d07d4 completed March 27, 2026, 9:25 a.m.
Created at: March 22, 2026, 4:47 p.m.