Triple
T17326144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essays in Idleness |
E420691
|
entity |
| Predicate | aestheticConcept |
P102534
|
FINISHED |
| Object | mono no aware |
—
|
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: mono no aware | Statement: [Essays in Idleness, aestheticConcept, mono no aware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aestheticConcept Context triple: [Essays in Idleness, aestheticConcept, mono no aware]
-
A.
associatedAesthetic
chosen
Indicates a relationship where one entity is linked to or characterized by a particular aesthetic style, quality, or visual/theme-based sensibility.
-
B.
artisticPhilosophy
Indicates the guiding set of aesthetic principles, values, and beliefs that shape how an entity approaches art or creative expression.
-
C.
aestheticRole
Indicates the role or function something has within an aesthetic or artistic context (e.g., as artwork, decoration, or design element).
-
D.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
E.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.