Triple
T12020033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Waterkeyn |
E286124
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | André Waterkeyn |
E286124
|
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: André Waterkeyn | Statement: [André Waterkeyn, name, André Waterkeyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Waterkeyn Context triple: [André Waterkeyn, name, André Waterkeyn]
-
A.
André Waterkeyn
chosen
André Waterkeyn was a Belgian engineer best known for designing Brussels’ iconic Atomium monument for the 1958 World’s Fair.
-
B.
Frans Van Cauwelaert
Frans Van Cauwelaert was a prominent Belgian Flemish politician and advocate of the Flemish Movement who played a key role in promoting Dutch language rights and regional autonomy.
-
C.
Dirk Van Saene
Dirk Van Saene is a Belgian fashion designer and influential member of the avant-garde Antwerp Six collective known for reshaping contemporary fashion in the 1980s.
-
D.
Cedric Boeckx
Cedric Boeckx is a linguist known for his work in generative grammar and biolinguistics, particularly on the nature of syntactic structures and their cognitive foundations.
-
E.
Roger Degueldre
Roger Degueldre was a French Army officer best known as a leading figure and commando leader in the pro–French Algeria paramilitary underground during the Algerian War.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ed15408190afc21afd57d6a737 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b62cad8819092beb72c604a4762 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:47 p.m.