Triple
T35620268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch school |
E1029290
|
entity |
| Predicate | artMarketFeature |
P115825
|
FINISHED |
| Object | high volume of small paintings |
—
|
LITERAL 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: high volume of small paintings | Statement: [Dutch school, artMarketFeature, high volume of small paintings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artMarketFeature Context triple: [Dutch school, artMarketFeature, high volume of small paintings]
-
A.
artMarketNotability
Indicates that an entity has recognized significance or prominence within the art market, such as through sales, auctions, or professional recognition.
-
B.
artMarketCategory
chosen
Indicates the classification of an artwork within the art market, such as its segment, type, or commercial category.
-
C.
featuresArtWorldReferences
Indicates that something includes or incorporates references to the art world, such as its institutions, figures, practices, or discourse.
-
D.
artMarketImpact
Indicates the effect that an artwork, artist, or event has on conditions in the art market, such as prices, demand, or visibility.
-
E.
hasArtMarket
Indicates that there exists a commercial art market associated with or available to the referenced entity.
- F. None of above.
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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ef00064819096b8eae7f5cdd30a |
completed | May 3, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.