Triple
T14324667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum Beelden aan Zee |
E355184
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Wim Quist |
E1013061
|
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: Wim Quist | Statement: [Museum Beelden aan Zee, architect, Wim Quist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wim Quist Context triple: [Museum Beelden aan Zee, architect, Wim Quist]
-
A.
Wim Quist
chosen
Wim Quist is a Dutch modernist architect renowned for his minimalist, geometric museum and public building designs.
-
B.
André Rouvoet
André Rouvoet is a Dutch politician of the ChristianUnion party who served as Deputy Prime Minister and Minister for Youth and Family Affairs in the Netherlands.
-
C.
Wim de Wit
Wim de Wit is a Dutch art historian and curator known for his work on modern architecture and design.
-
D.
Dirk Frimout
Dirk Frimout is a Belgian astrophysicist and astronaut who became the first Belgian in space during a Space Shuttle mission.
-
E.
Rudy Kousbroek
Rudy Kousbroek was a Dutch essayist and columnist known for his rationalist, skeptical writings on culture, language, and science.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a3479088190929ab4b9d218a608 |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.