Triple
T8164654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo de Jonge |
E190660
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Jonge |
E173672
|
NE FINISHED |
How this triple was built (2 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 Jonge | Statement: [Hugo de Jonge, familyName, de Jonge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Jonge Context triple: [Hugo de Jonge, familyName, de Jonge]
-
A.
de Jonge
chosen
De Jonge is a Dutch surname borne by various notable figures, including politicians, artists, and athletes in the Netherlands.
-
B.
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.
-
C.
Freek de Jonge
Freek de Jonge is a Dutch cabaret performer, comedian, and writer known for his sharp political satire and influential role in the Netherlands’ modern cabaret tradition.
-
D.
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.
-
E.
Jurriaan de Jonge
Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf3ed24c8190b4874e63fcaa50a9 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:38 p.m.