Triple
T22748926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bart De Wever |
E562636
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | De Wever |
—
|
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 Wever | Statement: [Bart De Wever, familyName, De Wever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Wever Context triple: [Bart De Wever, familyName, De Wever]
-
A.
De Wever
chosen
De Wever is a Flemish surname most prominently associated with Belgian politician Bart De Wever, a leading figure in contemporary Flemish nationalism.
-
B.
Marius de Jonge
Marius de Jonge is a Dutch biblical scholar known for his influential work on New Testament studies and early Christianity.
-
C.
Jan Heemskerk
Jan Heemskerk was a 19th-century Dutch liberal politician who served multiple terms as Prime Minister of the Netherlands.
-
D.
Jan Kleyna
Jan Kleyna is an astronomer known for discovering small outer moons of Jupiter and contributing to the study of planetary satellites.
-
E.
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b822988190b5368ac1f4e1d70a |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.