Triple
T30084317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interpreter |
E764559
|
entity |
| Predicate | showsVisionOf |
P5465
|
FINISHED |
| Object | a picture of a grave and serious man with eyes lifted up to heaven |
—
|
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: a picture of a grave and serious man with eyes lifted up to heaven | Statement: [Interpreter, showsVisionOf, a picture of a grave and serious man with eyes lifted up to heaven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsVisionOf Context triple: [Interpreter, showsVisionOf, a picture of a grave and serious man with eyes lifted up to heaven]
-
A.
hasVisionOf
Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
-
B.
containsVisionOf
chosen
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
C.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
D.
isSeeOf
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
-
E.
numberOfVisions
Indicates the quantity of visions experienced or associated with an entity.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 7:03 p.m.