Triple
T7668011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Jonge |
E173672
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jurriaan de Jonge
Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
|
E689851
|
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: Jurriaan de Jonge | Statement: [de Jonge, hasNotableBearer, Jurriaan de Jonge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jurriaan de Jonge Context triple: [de Jonge, hasNotableBearer, Jurriaan 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.
Piet Klijnveld
Piet Klijnveld was a Dutch accountant and entrepreneur who co-founded the international professional services firm that later became part of KPMG.
-
C.
Johan de Jonge
Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
-
D.
Barend Biesheuvel
Barend Biesheuvel was a Dutch politician of the Anti-Revolutionary Party who served as Prime Minister of the Netherlands from 1971 to 1973.
-
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: Jurriaan de Jonge Triple: [de Jonge, hasNotableBearer, Jurriaan de Jonge]
Generated description
Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jurriaan de Jonge Target entity description: Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch 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.
Piet Klijnveld
Piet Klijnveld was a Dutch accountant and entrepreneur who co-founded the international professional services firm that later became part of KPMG.
-
C.
Johan de Jonge
Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
-
D.
Barend Biesheuvel
Barend Biesheuvel was a Dutch politician of the Anti-Revolutionary Party who served as Prime Minister of the Netherlands from 1971 to 1973.
-
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_69c9116b86cc8190997077243f99cc7d |
completed | March 29, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c912219dd8819098157c3d0d22eaac |
completed | March 29, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9138753088190ad84f49ad04f2b8a |
completed | March 29, 2026, 11:56 a.m. |
Created at: March 27, 2026, 4 p.m.