Triple
T37216814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Pierre (sculpture) |
E922760
|
entity |
| Predicate | depictionEmotion |
P78812
|
FINISHED |
| Object | devotion |
—
|
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: devotion | Statement: [Saint Pierre (sculpture), depictionEmotion, devotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionEmotion Context triple: [Saint Pierre (sculpture), depictionEmotion, devotion]
-
A.
depictsMood
chosen
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
B.
emotionDisplayed
Indicates that an entity is outwardly expressing or showing a particular emotion.
-
C.
emotionPersonified
Indicates that an abstract emotion is represented or depicted as if it were a person or human-like agent.
-
D.
intendedEmotion
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
-
E.
faceExpression
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: May 3, 2026, 4:15 p.m.