Triple
T21872317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 喜多郎 |
E540035
|
entity |
| Predicate | 音楽的要素 |
P27310
|
FINISHED |
| Object | シンセサイザーによるレイヤーサウンド |
—
|
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: シンセサイザーによるレイヤーサウンド | Statement: [喜多郎, 音楽的要素, シンセサイザーによるレイヤーサウンド]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 音楽的要素 Context triple: [喜多郎, 音楽的要素, シンセサイザーによるレイヤーサウンド]
-
A.
musicElement
chosen
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
-
B.
musicalBasisFor
Indicates that one musical work, idea, or element serves as the foundational source or inspiration upon which another musical work, idea, or element is built or derived.
-
C.
partOfMusical
Indicates that something is a component, segment, or element belonging to a larger musical work or performance.
-
D.
音楽
Indicates a relationship where an entity is associated with, involves, or is characterized by music as a form of sound-based artistic or cultural expression.
-
E.
musicalAttribute
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
- 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.