Triple
T6441633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Innocent X |
E138237
|
entity |
| Predicate | depictsFacialExpression |
P23736
|
FINISHED |
| Object | stern gaze |
—
|
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: stern gaze | Statement: [Portrait of Innocent X, depictsFacialExpression, stern gaze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsFacialExpression Context triple: [Portrait of Innocent X, depictsFacialExpression, stern gaze]
-
A.
faceExpression
chosen
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
-
B.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictedAbove
Indicates that one entity is visually represented in an image, illustration, or diagram that is positioned above another referenced element in a layout or document.
-
E.
intendedEmotion
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06989dfb88190b25ff8b2c53f3ced |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:46 p.m.