Triple
T962049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob van Ruisdael |
E20755
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jacob van Ruisdael |
E20755
|
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: Jacob van Ruisdael | Statement: [Jacob van Ruisdael, name, Jacob van Ruisdael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob van Ruisdael Context triple: [Jacob van Ruisdael, name, Jacob van Ruisdael]
-
A.
Jacob van Ruisdael
chosen
Jacob van Ruisdael was a preeminent 17th-century Dutch landscape painter renowned for his dramatic, atmospheric depictions of nature and profound influence on European landscape art.
-
B.
Meindert Hobbema
Meindert Hobbema was a Dutch Golden Age landscape painter renowned for his detailed depictions of wooded scenes and country roads.
-
C.
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.
-
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.
Aert van der Neer
Aert van der Neer was a Dutch Golden Age painter renowned for his atmospheric moonlit landscapes and winter 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af8309912c819096cf0dad7039ec95 |
completed | March 10, 2026, 2:33 a.m. |
Created at: March 1, 2026, 7:40 p.m.