Triple
T28250068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maison Fournaise |
E712287
|
entity |
| Predicate | paintingSiteFor |
P142999
|
FINISHED |
| Object | Pierre-Auguste Renoir |
—
|
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: Pierre-Auguste Renoir | Statement: [Maison Fournaise, paintingSiteFor, Pierre-Auguste Renoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paintingSiteFor Context triple: [Maison Fournaise, paintingSiteFor, Pierre-Auguste Renoir]
-
A.
paintingSettingOf
Indicates that a painting depicts or provides the visual setting or background context for another entity or scene.
-
B.
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.
-
C.
paintingPractice
Indicates engaging in the activity of practicing or improving skills in painting.
-
D.
artSite
chosen
Indicates a relationship where a location or site is used for, associated with, or designated as a place for art creation, display, or related artistic activities.
-
E.
paintsFor
Indicates that one entity creates paintings or artwork on behalf of, or under commission from, another 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643eecbe481908f4c9be0fa878f36 |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:04 p.m.