Triple
T21872315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 喜多郎 |
E540035
|
entity |
| Predicate | レコーディング形態 |
P15615
|
FINISHED |
| Object | スタジオ録音作品 |
—
|
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: スタジオ録音作品 | Statement: [喜多郎, レコーディング形態, スタジオ録音作品]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: レコーディング形態 Context triple: [喜多郎, レコーディング形態, スタジオ録音作品]
-
A.
recordingType
chosen
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
-
B.
recordingStyle
Indicates the manner or technique used to capture or document something, such as audio, video, or data.
-
C.
recordingOf
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
-
D.
recordingFor
Indicates that one entity serves as a recorded representation (such as audio, video, or data capture) created for, or documenting, another entity or event.
-
E.
recordingMethod
Indicates the technique or process used to capture or record something (such as data, audio, or video).
- 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.