Triple

T9962027
Position Surface form Disambiguated ID Type / Status
Subject Guy Verhofstadt E195591 entity
Predicate familyName P18 FINISHED
Object Verhofstadt
Verhofstadt is the surname of Guy Verhofstadt, a prominent Belgian liberal politician and former Prime Minister of Belgium.
E831971 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: Verhofstadt | Statement: [Guy Verhofstadt, familyName, Verhofstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verhofstadt
Context triple: [Guy Verhofstadt, familyName, Verhofstadt]
  • A. Daniel Günther
    Daniel Günther is a German politician from the Christian Democratic Union (CDU) who serves as the Minister-President of the northern federal state of Schleswig-Holstein.
  • B. Christian Scholz
    Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
  • C. Florian Haertel
    Florian Haertel is a German journalist and photographer best known as the former husband of British actress Alex Kingston.
  • D. Martin Schröder
    Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
  • E. Dietmar Salamon
    Dietmar Salamon is a mathematician known for his influential work in symplectic geometry and topology, particularly in collaboration with Dusa McDuff.
  • 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: Verhofstadt
Triple: [Guy Verhofstadt, familyName, Verhofstadt]
Generated description
Verhofstadt is the surname of Guy Verhofstadt, a prominent Belgian liberal politician and former Prime Minister of Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Verhofstadt
Target entity description: Verhofstadt is the surname of Guy Verhofstadt, a prominent Belgian liberal politician and former Prime Minister of Belgium.
  • A. Daniel Günther
    Daniel Günther is a German politician from the Christian Democratic Union (CDU) who serves as the Minister-President of the northern federal state of Schleswig-Holstein.
  • B. Christian Scholz
    Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
  • C. Florian Haertel
    Florian Haertel is a German journalist and photographer best known as the former husband of British actress Alex Kingston.
  • D. Martin Schröder
    Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
  • E. Dietmar Salamon
    Dietmar Salamon is a mathematician known for his influential work in symplectic geometry and topology, particularly in collaboration with Dusa McDuff.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d37f0c8190946b958c399f3250 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d904bbc8190ac0b28600ed2e709 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23fa1e3288190b755b3966178ad52 completed April 5, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69d24077720c81909a43ff56627095a1 completed April 5, 2026, 10:59 a.m.
Created at: March 30, 2026, 8:47 p.m.