Triple
T22459370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oek de Jong |
E555190
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | De Jong |
—
|
NE NERFINISHED |
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 Jong | Statement: [Oek de Jong, familyName, De Jong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Jong Context triple: [Oek de Jong, familyName, De Jong]
-
A.
De Jong
chosen
De Jong is a common Dutch surname borne by numerous notable figures across politics, sports, arts, and science.
-
B.
de Jonge
De Jonge is a Dutch surname borne by various notable figures, including politicians, artists, and athletes in the Netherlands.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.