Triple
T22459368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oek de Jong |
E555190
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Oek 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: Oek de Jong | Statement: [Oek de Jong, name, Oek de Jong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oek de Jong Context triple: [Oek de Jong, name, Oek de Jong]
-
A.
Oek de Jong
chosen
Oek de Jong is a Dutch novelist known for his psychologically rich, stylistically refined prose and significant influence on contemporary Dutch literature.
-
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.
De Jong
De Jong is a common Dutch surname borne by numerous notable figures across politics, sports, arts, and science.
-
E.
Lindo Jong
Lindo Jong is a strong-willed Chinese immigrant mother in Amy Tan’s novel *The Joy Luck Club*, known for her resilience, cunning, and complex relationship with her American-born daughter.
- 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.