Triple

T7667987
Position Surface form Disambiguated ID Type / Status
Subject de Jonge E173672 entity
Predicate hasNotableBearer P458 FINISHED
Object Johan de Jonge
Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
E689385 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: Johan de Jonge | Statement: [de Jonge, hasNotableBearer, Johan de Jonge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johan de Jonge
Context triple: [de Jonge, hasNotableBearer, Johan de Jonge]
  • A. Piet de Jong
    Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • B. Sidney van den Bergh
    Sidney van den Bergh is a Canadian astronomer renowned for his work on galaxies and galaxy clusters, including the discovery of several dwarf galaxies.
  • C. Willem Brakman
    Willem Brakman was a Dutch novelist known for his experimental, often surreal prose and significant contribution to postwar Dutch literature.
  • D. Hendrik Tennekes
    Hendrik Tennekes was a Dutch meteorologist and turbulence researcher known for his influential work in atmospheric boundary-layer dynamics and co-authoring the classic text "A First Course in Turbulence."
  • 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: Johan de Jonge
Triple: [de Jonge, hasNotableBearer, Johan de Jonge]
Generated description
Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Johan de Jonge
Target entity description: Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
  • A. Piet de Jong
    Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
  • B. Sidney van den Bergh
    Sidney van den Bergh is a Canadian astronomer renowned for his work on galaxies and galaxy clusters, including the discovery of several dwarf galaxies.
  • C. Willem Brakman
    Willem Brakman was a Dutch novelist known for his experimental, often surreal prose and significant contribution to postwar Dutch literature.
  • D. Hendrik Tennekes
    Hendrik Tennekes was a Dutch meteorologist and turbulence researcher known for his influential work in atmospheric boundary-layer dynamics and co-authoring the classic text "A First Course in Turbulence."
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c26ffc8190894fdef92f877f38 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8fa25e4a881909af09d8cbe6852dd completed March 29, 2026, 10:08 a.m.
NEDg Description generation batch_69c8fc426bf88190a97e55469daa56d6 completed March 29, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8fc5aca488190b52e8f0d336cda8e completed March 29, 2026, 10:18 a.m.
Created at: March 27, 2026, 4 p.m.