Triple
T4590776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aert van der Neer |
E103481
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Aert van der Neer |
E103481
|
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: Aert van der Neer | Statement: [Aert van der Neer, name, Aert van der Neer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aert van der Neer Context triple: [Aert van der Neer, name, Aert van der Neer]
-
A.
Aert van der Neer
chosen
Aert van der Neer was a Dutch Golden Age painter renowned for his atmospheric moonlit landscapes and winter scenes.
-
B.
Daniël Vosmaer
Daniël Vosmaer was a 17th-century Dutch painter associated with the Delft School, known for his detailed cityscapes and architectural views.
-
C.
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.
-
D.
Joachim Wtewael
Joachim Wtewael was a Dutch Mannerist painter and draftsman of the late 16th and early 17th centuries, known for his highly detailed, vividly colored religious and mythological scenes.
-
E.
Emanuel de Witte
Emanuel de Witte was a Dutch Golden Age painter renowned for his atmospheric church interiors and masterful use of light and perspective.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5923c0c88190952137d448d474cf |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124d359ec819086420b7e00b8d630 |
completed | March 23, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:11 p.m.