Triple
T35445349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Return from Cythera |
E1024466
|
entity |
| Predicate | usedInArtHistoryAs |
P117081
|
FINISHED |
| Object | interpretive label |
—
|
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: interpretive label | Statement: [Return from Cythera, usedInArtHistoryAs, interpretive label]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInArtHistoryAs Context triple: [Return from Cythera, usedInArtHistoryAs, interpretive label]
-
A.
artHistoricalReference
Indicates that one entity makes reference to, is inspired by, or explicitly alludes to another entity within an art-historical context.
-
B.
hasArtHistoricalSignificance
Indicates that something holds notable importance or influence within the context of art history.
-
C.
inArtAndIconography
Indicates that one entity is depicted, represented, or symbolically expressed through artistic works or iconographic imagery related to another entity.
-
D.
hasArtHistoricalTerm
chosen
Indicates that something is associated with, labeled by, or classified using a specific term from art historical terminology.
-
E.
artHistoricalInterpretation
Indicates an interpretive relationship where an artwork is analyzed or explained through art-historical methods, theories, or contextual understanding.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: May 3, 2026, 4:04 p.m.