Triple
T8165799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Girl in a Blue Armchair |
E190688
|
entity |
| Predicate | showsPerspective |
P63656
|
FINISHED |
| Object | slightly elevated 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: slightly elevated viewpoint | Statement: [Little Girl in a Blue Armchair, showsPerspective, slightly elevated viewpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsPerspective Context triple: [Little Girl in a Blue Armchair, showsPerspective, slightly elevated viewpoint]
-
A.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
B.
settingOfPerspective
Indicates the contextual situation, environment, or circumstances within which a particular perspective or point of view is framed or expressed.
-
C.
useOfPerspective
Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
-
D.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
E.
depictsView
chosen
Indicates that one entity visually represents or portrays the view, scene, or perspective of 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466698108190ba6aa625e9182b2a |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:38 p.m.