Triple
T23450561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Sonatas, Op. 50 |
E567767
|
entity |
| Predicate | artisticMaturity |
P69081
|
FINISHED |
| Object | late and mature |
—
|
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: late and mature | Statement: [Piano Sonatas, Op. 50, artisticMaturity, late and mature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticMaturity Context triple: [Piano Sonatas, Op. 50, artisticMaturity, late and mature]
-
A.
hasMatureArtisticDirection
chosen
Indicates that an entity’s artistic choices or style have reached a developed, refined, and fully realized stage of creative direction.
-
B.
hasArtisticLevel
Indicates the degree or quality of artistic skill, sophistication, or creativity associated with an entity.
-
C.
hasArtisticContent
Indicates that something contains or embodies artistic material, expression, or creative work.
-
D.
artworkSubjectAge
Indicates that the relationship specifies the age of the subject depicted in an artwork.
-
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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64d3e9c8190a2596b067c4f5061 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:52 p.m.