Triple

T14356175
Position Surface form Disambiguated ID Type / Status
Subject Hella Jongerius E355975 entity
Predicate familyName P18 FINISHED
Object Jongerius
Jongerius is a Dutch surname most notably associated with Hella Jongerius, a renowned contemporary industrial and product designer.
 E1095453 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: Jongerius | Statement: [Hella Jongerius, familyName, Jongerius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jongerius
Context triple: [Hella Jongerius, familyName, Jongerius]
  • A. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • B. Adriaan
    Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
  • C. Martin Rythovius
    Martin Rythovius was a 16th-century Roman Catholic bishop known for his leadership of the Diocese of Ypres during the turbulent period of the Reformation in the Habsburg Netherlands.
  • D. Leendert
    Leendert is a Dutch masculine given name, notably borne by mathematician Bartel Leendert van der Waerden.
  • E. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • 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: Jongerius
Triple: [Hella Jongerius, familyName, Jongerius]
Generated description
Jongerius is a Dutch surname most notably associated with Hella Jongerius, a renowned contemporary industrial and product designer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jongerius
Target entity description: Jongerius is a Dutch surname most notably associated with Hella Jongerius, a renowned contemporary industrial and product designer.
  • A. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • B. Adriaan
    Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
  • C. Martin Rythovius
    Martin Rythovius was a 16th-century Roman Catholic bishop known for his leadership of the Diocese of Ypres during the turbulent period of the Reformation in the Habsburg Netherlands.
  • D. Leendert
    Leendert is a Dutch masculine given name, notably borne by mathematician Bartel Leendert van der Waerden.
  • E. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f519bf881908615f4d47e0f77aa completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c473fa48190866ab946971e971c completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4d56b67c8190bc9ecd4f444df780 completed May 8, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69fd4e9a678c8190bd1821e6c43a3a1a completed May 8, 2026, 2:46 a.m.
Created at: April 10, 2026, 1:15 a.m.