Triple
T951915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Steen |
E20539
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Jan van Goyen |
E91873
|
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: Jan van Goyen | Statement: [Jan Steen, influencedBy, Jan van Goyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan van Goyen Context triple: [Jan Steen, influencedBy, Jan van Goyen]
-
A.
Jan van Goyen
chosen
Jan van Goyen was a prominent 17th-century Dutch landscape painter of the Golden Age, known for his tonal, atmospheric river and village scenes.
-
B.
Meindert Hobbema
Meindert Hobbema was a Dutch Golden Age landscape painter renowned for his detailed depictions of wooded scenes and country roads.
-
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.
Aert van der Neer
Aert van der Neer was a Dutch Golden Age painter renowned for his atmospheric moonlit landscapes and winter scenes.
-
E.
Willem van de Velde the Elder
Willem van de Velde the Elder was a 17th-century Dutch marine painter renowned for his detailed depictions of naval battles and seascapes.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d757d08190a475cf47febd05ae |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6523d8f4819082396925561acdc4 |
completed | March 10, 2026, 12:26 a.m. |
Created at: March 1, 2026, 7:40 p.m.