Triple
T14399484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Baroque art |
E357032
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Aelbert Cuyp |
E690423
|
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: Aelbert Cuyp | Statement: [Dutch Baroque art, notableArtist, Aelbert Cuyp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aelbert Cuyp Context triple: [Dutch Baroque art, notableArtist, Aelbert Cuyp]
-
A.
Aelbert Cuyp
chosen
Aelbert Cuyp was a prominent 17th-century Dutch Golden Age painter renowned for his luminous, atmospheric landscapes, especially river and pastoral scenes bathed in warm light.
-
B.
Nicolaes Molenaer
Nicolaes Molenaer was a 17th-century Dutch Golden Age painter known for his landscapes and winter scenes.
-
C.
Aert van der Neer
Aert van der Neer was a Dutch Golden Age painter renowned for his atmospheric moonlit landscapes and winter scenes.
-
D.
Gerrit Dou
Gerrit Dou was a Dutch Golden Age painter renowned for his meticulously detailed genre scenes and mastery of light as a leading figure of the Leiden fijnschilders.
-
E.
Jan van Goyen
Jan van Goyen was a prominent 17th-century Dutch landscape painter of the Golden Age, known for his tonal, atmospheric river and village scenes.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff453e3d3081909f6b6e8b67a824ac |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 1:17 a.m.