Triple

T12027136
Position Surface form Disambiguated ID Type / Status
Subject Vos E286306 entity
Predicate hasNotableBearer P458 FINISHED
Object Roelof Vos
Roelof Vos is a Dutch aerospace engineer and academic known for his work in aircraft design and aerodynamics.
E974497 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: Roelof Vos | Statement: [Vos, hasNotableBearer, Roelof Vos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roelof Vos
Context triple: [Vos, hasNotableBearer, Roelof Vos]
  • A. Roelf Steenhuis
    Roelf Steenhuis is a Dutch architect best known as one of the founding figures of the architecture firm Mecanoo.
  • B. Adriaan Goekoop
    Adriaan Goekoop was a prominent Dutch archaeologist, collector, and patron of the arts known for his significant contributions to the cultural and historical heritage of The Hague.
  • C. Hermanus Brinkman
    Hermanus Brinkman is a person notable enough to be recognized as a distinguished bearer of the Brinkman surname.
  • D. Pieter Louw
    Pieter Louw is a South African rugby union player known for his role as a flanker, particularly during his time with the Stormers and Western Province.
  • E. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • 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: Roelof Vos
Triple: [Vos, hasNotableBearer, Roelof Vos]
Generated description
Roelof Vos is a Dutch aerospace engineer and academic known for his work in aircraft design and aerodynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roelof Vos
Target entity description: Roelof Vos is a Dutch aerospace engineer and academic known for his work in aircraft design and aerodynamics.
  • A. Roelf Steenhuis
    Roelf Steenhuis is a Dutch architect best known as one of the founding figures of the architecture firm Mecanoo.
  • B. Adriaan Goekoop
    Adriaan Goekoop was a prominent Dutch archaeologist, collector, and patron of the arts known for his significant contributions to the cultural and historical heritage of The Hague.
  • C. Hermanus Brinkman
    Hermanus Brinkman is a person notable enough to be recognized as a distinguished bearer of the Brinkman surname.
  • D. Pieter Louw
    Pieter Louw is a South African rugby union player known for his role as a flanker, particularly during his time with the Stormers and Western Province.
  • E. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • 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_69f61e3cd0648190ac6d5587bd7024a7 completed May 2, 2026, 3:54 p.m.
NEDg Description generation batch_69f61f9386548190a749445a404db3a2 completed May 2, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69f6207f164c8190b663a50ee3c761d6 completed May 2, 2026, 4:04 p.m.
Created at: April 8, 2026, 9:47 p.m.