Triple
T16523244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crucifixion mosaic (Daphni Monastery) |
E401371
|
entity |
| Predicate | showsChristExpression |
P23736
|
FINISHED |
| Object | serene and restrained |
—
|
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: serene and restrained | Statement: [Crucifixion mosaic (Daphni Monastery), showsChristExpression, serene and restrained]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsChristExpression Context triple: [Crucifixion mosaic (Daphni Monastery), showsChristExpression, serene and restrained]
-
A.
emotionDisplayed
Indicates that an entity is outwardly expressing or showing a particular emotion.
-
B.
faceExpression
chosen
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
-
C.
emotionChip
Indicates that an entity possesses or is equipped with an emotion chip that enables emotional processing or simulation.
-
D.
viewOnEmotion
Indicates a relationship where one entity holds a particular emotional perspective, reaction, or attitude toward another entity or situation.
-
E.
expressivenessComparedTo
Indicates a comparison of how expressive one entity is relative to another in conveying meaning, emotion, or nuance.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed2622c8190b6429a49ca92284a |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.