Triple

T17969377
Position Surface form Disambiguated ID Type / Status
Subject Piet de Jong E449294 entity
Predicate familyName P18 FINISHED
Object De Jong
De Jong is a common Dutch surname borne by numerous notable figures across politics, sports, arts, and science.
E1298605 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: De Jong | Statement: [Piet de Jong, familyName, De Jong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Jong
Context triple: [Piet de Jong, familyName, De Jong]
  • A. de Jonge
    De Jonge is a Dutch surname borne by various notable figures, including politicians, artists, and athletes in the Netherlands.
  • B. Oek de Jong
    Oek de Jong is a Dutch novelist known for his psychologically rich, stylistically refined prose and significant influence on contemporary Dutch literature.
  • C. Kees de Jonge
    Kees de Jonge is a Dutch individual known primarily as a namesake referenced in biographical and genealogical contexts rather than for widely documented public achievements.
  • D. J.J. Voskuil
    J.J. Voskuil was a Dutch writer best known for his monumental, autobiographical novel cycle "Het Bureau," which offers a detailed, ironic portrayal of life inside a government research institute.
  • E. Marius de Jonge
    Marius de Jonge is a Dutch biblical scholar known for his influential work on New Testament studies and early Christianity.
  • 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: De Jong
Triple: [Piet de Jong, familyName, De Jong]
Generated description
De Jong is a common Dutch surname borne by numerous notable figures across politics, sports, arts, and science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Jong
Target entity description: De Jong is a common Dutch surname borne by numerous notable figures across politics, sports, arts, and science.
  • A. de Jonge
    De Jonge is a Dutch surname borne by various notable figures, including politicians, artists, and athletes in the Netherlands.
  • B. Oek de Jong
    Oek de Jong is a Dutch novelist known for his psychologically rich, stylistically refined prose and significant influence on contemporary Dutch literature.
  • C. Kees de Jonge
    Kees de Jonge is a Dutch individual known primarily as a namesake referenced in biographical and genealogical contexts rather than for widely documented public achievements.
  • D. J.J. Voskuil
    J.J. Voskuil was a Dutch writer best known for his monumental, autobiographical novel cycle "Het Bureau," which offers a detailed, ironic portrayal of life inside a government research institute.
  • E. Marius de Jonge
    Marius de Jonge is a Dutch biblical scholar known for his influential work on New Testament studies and early Christianity.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b13b1b088190b7d71006b31e5cc3 completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a033014063c8190be570c12f169f11d completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a03313620f081909926dea3fc0dd30f completed May 12, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a03322540f48190a2957dba3d902003 completed May 12, 2026, 1:59 p.m.
Created at: April 10, 2026, 10:22 a.m.