Triple
T29890103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eragny on the Epte |
E759126
|
entity |
| Predicate | paintingSiteOf |
P24427
|
FINISHED |
| Object | Camille Pissarro |
—
|
NE NERFINISHED |
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: Camille Pissarro | Statement: [Eragny on the Epte, paintingSiteOf, Camille Pissarro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paintingSiteOf Context triple: [Eragny on the Epte, paintingSiteOf, Camille Pissarro]
-
A.
paintingSettingOf
Indicates that a painting depicts or provides the visual setting or background context for another entity or scene.
-
B.
placeOfDepiction
chosen
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
C.
paintingProject
Indicates a relationship where an entity undertakes or is associated with the activity of creating, executing, or managing a painting-related task or assignment.
-
D.
museumOrSite
Indicates that one entity is a museum or cultural/historical site associated with or relevant to another entity.
-
E.
paintingPractice
Indicates engaging in the activity of practicing or improving skills in painting.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677007d808190b5b59f62e21b77cf |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:02 p.m.