Triple
T28326915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fait d’Hiver |
E717433
|
entity |
| Predicate | artSeriesExploredConcept |
P164276
|
FINISHED |
| Object | banality |
—
|
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: banality | Statement: [Fait d’Hiver, artSeriesExploredConcept, banality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artSeriesExploredConcept Context triple: [Fait d’Hiver, artSeriesExploredConcept, banality]
-
A.
artworkSubjectHeading
Indicates that an artwork is associated with a specific subject heading used to categorize or describe its thematic content.
-
B.
artIncludes
Indicates that a work of art contains, incorporates, or is composed of another artistic element or component.
-
C.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
D.
inArtAndIconography
Indicates that one entity is depicted, represented, or symbolically expressed through artistic works or iconographic imagery related to another entity.
-
E.
featuresArtWorldReferences
Indicates that something includes or incorporates references to the art world, such as its institutions, figures, practices, or discourse.
- F. None of above. chosen
Provenance (4 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6493036f4819095f94ef6457dd35d |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 28, 2026, 12:29 a.m.