Triple
T6038113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Weyts |
E134472
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ben Weyts |
E134472
|
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: Ben Weyts | Statement: [Ben Weyts, name, Ben Weyts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Weyts Context triple: [Ben Weyts, name, Ben Weyts]
-
A.
Ben Weyts
chosen
Ben Weyts is a Belgian politician from Flanders who has served in prominent roles within the Flemish government, particularly in areas such as education and mobility.
-
B.
Bart De Wever
Bart De Wever is a prominent Belgian politician known as a leading figure of Flemish nationalism and a key power broker in contemporary Belgian politics.
-
C.
Kris Peeters
Kris Peeters is a Belgian politician from the Christian Democratic and Flemish (CD&V) party who served as Minister-President of Flanders and later as a Member of the European Parliament.
-
D.
Cédric Van Styvendael
Cédric Van Styvendael is a French politician who serves as the mayor of the city of Villeurbanne, near Lyon.
-
E.
Sébastien Jodogne
Sébastien Jodogne is a free software developer best known for creating the open-source medical imaging platform Orthanc and for his significant contributions to open healthcare technologies.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056ccac948190a27547878d4db8e4 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cfbb4cc81909736d5d041dd0b23 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:08 p.m.