Triple
T10906200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Walk (Woman with a Parasol) |
E257574
|
entity |
| Predicate | depictsPerspective |
P60678
|
FINISHED |
| Object | low viewpoint |
—
|
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: low viewpoint | Statement: [The Walk (Woman with a Parasol), depictsPerspective, low viewpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPerspective Context triple: [The Walk (Woman with a Parasol), depictsPerspective, low viewpoint]
-
A.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
B.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictionAngle
chosen
Indicates the angle or viewpoint from which something is visually depicted or represented.
-
E.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706679b48190a1f29fc64fe8a334 |
completed | April 9, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.