Triple
T19512612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Mnonja |
E488192
|
entity |
| Predicate | subjectPositioning |
P3046
|
FINISHED |
| Object | direct gaze at viewer |
—
|
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: direct gaze at viewer | Statement: [Portrait of Mnonja, subjectPositioning, direct gaze at viewer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectPositioning Context triple: [Portrait of Mnonja, subjectPositioning, direct gaze at viewer]
-
A.
subjectPosition
chosen
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
-
B.
positioning
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
-
C.
relativePositioning
Indicates how one entity is spatially arranged or located in relation to another entity.
-
D.
stylePositioning
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
E.
experiencePositioning
Indicates that an entity undergoes or is subjected to a specific spatial or situational positioning relative to something else.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359908fc8190bd05f26d4271d268 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.