Triple
T29215205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 柿本人麻呂 |
E740648
|
entity |
| Predicate | 文芸上の特徴 |
P16928
|
FINISHED |
| Object | 長大な長歌構成に優れる |
—
|
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: 長大な長歌構成に優れる | Statement: [柿本人麻呂, 文芸上の特徴, 長大な長歌構成に優れる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文芸上の特徴 Context triple: [柿本人麻呂, 文芸上の特徴, 長大な長歌構成に優れる]
-
A.
literaryFeature
chosen
Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
-
B.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
C.
literaryMuseOf
Indicates a relationship in which one entity serves as the creative inspiration or muse for another entity’s literary work.
-
D.
artisticMovementCharacteristic
Indicates that something is a defining feature or typical quality associated with a particular artistic movement.
-
E.
literarySubject
Indicates that one entity serves as the subject, topic, or focus of a literary work created by another 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66408d068819082a94491d663bff2 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:13 p.m.