Triple
T4767885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finding in the Temple |
E105855
|
entity |
| Predicate | depictedInArtGenre |
P3050
|
FINISHED |
| Object | Gospel scenes |
—
|
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: Gospel scenes | Statement: [Finding in the Temple, depictedInArtGenre, Gospel scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedInArtGenre Context triple: [Finding in the Temple, depictedInArtGenre, Gospel scenes]
-
A.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
B.
artworkType
chosen
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
C.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
-
D.
inspiredArtMovement
Indicates that one entity served as a creative or conceptual influence leading to the development or direction of an art movement in the other entity.
-
E.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.