Triple
T21872305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 喜多郎 |
E540035
|
entity |
| Predicate | 代表的特徴 |
P128001
|
FINISHED |
| Object | シンセサイザーを駆使したサウンド |
—
|
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: シンセサイザーを駆使したサウンド | Statement: [喜多郎, 代表的特徴, シンセサイザーを駆使したサウンド]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 代表的特徴 Context triple: [喜多郎, 代表的特徴, シンセサイザーを駆使したサウンド]
-
A.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
B.
valueCharacteristic
Indicates that one entity serves as a value or specific quantitative/qualitative measure that characterizes or describes another entity.
-
C.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
D.
characterRepresentation
Indicates a relationship where one entity serves as the symbolic, visual, or conceptual depiction of another entity’s character or identity.
-
E.
entityCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f3368d488190a37224b587858ab0 |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:59 p.m.