Triple
T20528983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nu couché |
E504016
|
entity |
| Predicate | subjectGaze |
P41128
|
FINISHED |
| Object | direct gaze toward the 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 toward the viewer | Statement: [Nu couché, subjectGaze, direct gaze toward the viewer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectGaze Context triple: [Nu couché, subjectGaze, direct gaze toward the viewer]
-
A.
gazeDirection
chosen
Indicates the direction in which an entity is looking or focusing its visual attention.
-
B.
explorationSubject
Indicates that an entity is the focus or target of an exploration, investigation, or exploratory activity carried out by another entity.
-
C.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
D.
focusTheory
Indicates that one entity serves as the primary theoretical framework, perspective, or model that another entity is based on, organized around, or chiefly concerned with.
-
E.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06926248190942fc9608e6b85fd |
completed | April 20, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:37 a.m.