Triple
T16661914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Charles I in Three Positions |
E404878
|
entity |
| Predicate | depictsGazeDirection |
P41128
|
FINISHED |
| Object | different gaze directions in each view |
—
|
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: different gaze directions in each view | Statement: [Portrait of Charles I in Three Positions, depictsGazeDirection, different gaze directions in each view]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsGazeDirection Context triple: [Portrait of Charles I in Three Positions, depictsGazeDirection, different gaze directions in each view]
-
A.
gazeDirection
chosen
Indicates the direction in which an entity is looking or focusing its visual attention.
-
B.
depictionAngle
Indicates the angle or viewpoint from which something is visually depicted or represented.
-
C.
eyeLocation
Indicates the spatial position or placement of an eye relative to a reference object or coordinate system.
-
D.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
-
E.
positionDepicted
Indicates that one entity visually represents or depicts the spatial position or placement 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfee5448190bb44c4dadba5dcbd |
completed | April 18, 2026, 12:41 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.