Triple
T7667970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo de Jonge |
E173672
|
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.
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.
-
C.
Jan Janssen
Jan Janssen is a Dutch former professional cyclist best known as the first Dutch winner of the Tour de France, which he won in 1968.
-
D.
Jan Gies
Jan Gies was a Dutch resistance member best known for helping his wife Miep Gies hide Anne Frank and her family during World War II.
-
E.
van Slingelandt
Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
- 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_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_69c89b260000819088d744ea8dc53cd2 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 4 p.m.