Triple

T12027146
Position Surface form Disambiguated ID Type / Status
Subject Vos E286306 entity
Predicate hasNotableBearer P458 FINISHED
Object Jan Vos
Jan Vos is a notable Dutch figure, historically recognized as a 17th-century poet and playwright active in Amsterdam’s cultural life.
 E959844 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: Jan Vos | Statement: [Vos, hasNotableBearer, Jan Vos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jan Vos
Context triple: [Vos, hasNotableBearer, Jan Vos]
  • A. Johan de Jonge
    Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
  • B. Jobke Vonk-Vedder
    Jobke Vonk-Vedder is a Dutch local politician who serves as the mayor of the municipality of Halderberge in the Netherlands.
  • C. Paul de Vos
    Paul de Vos was a Flemish Baroque painter renowned for his dynamic animal, hunting, and still-life scenes in 17th-century Antwerp.
  • D. Nic Vos
    Nic Vos is a central character in the 2006 political thriller "Catch a Fire," depicted as a South African security officer entangled in the apartheid-era struggle against anti-government resistance.
  • E. Peter de Jonge
    Peter de Jonge is an American author and journalist best known for co-writing several bestselling crime novels with James Patterson.
  • 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: Jan Vos
Triple: [Vos, hasNotableBearer, Jan Vos]
Generated description
Jan Vos is a notable Dutch figure, historically recognized as a 17th-century poet and playwright active in Amsterdam’s cultural life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jan Vos
Target entity description: Jan Vos is a notable Dutch figure, historically recognized as a 17th-century poet and playwright active in Amsterdam’s cultural life.
  • A. Johan de Jonge
    Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
  • B. Jobke Vonk-Vedder
    Jobke Vonk-Vedder is a Dutch local politician who serves as the mayor of the municipality of Halderberge in the Netherlands.
  • C. Paul de Vos
    Paul de Vos was a Flemish Baroque painter renowned for his dynamic animal, hunting, and still-life scenes in 17th-century Antwerp.
  • D. Nic Vos
    Nic Vos is a central character in the 2006 political thriller "Catch a Fire," depicted as a South African security officer entangled in the apartheid-era struggle against anti-government resistance.
  • E. Peter de Jonge
    Peter de Jonge is an American author and journalist best known for co-writing several bestselling crime novels with James Patterson.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8111b88190a42a8904a2d26862 completed May 1, 2026, 11:16 a.m.
NEDg Description generation batch_69f48fc7a8848190a06b34cc45db4789 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495f069c48190a6e5856c272420c0 completed May 1, 2026, noon
Created at: April 8, 2026, 9:47 p.m.