Triple
T29182906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinuyo Yamashita |
E739789
|
entity |
| Predicate | composedTrackType |
P180030
|
FINISHED |
| Object | chiptune |
—
|
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: chiptune | Statement: [Kinuyo Yamashita, composedTrackType, chiptune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composedTrackType Context triple: [Kinuyo Yamashita, composedTrackType, chiptune]
-
A.
trackType
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
B.
containsTrackType
Indicates that one entity includes or is associated with a specific type or category of track.
-
C.
associatedWithTrack
Indicates a relationship in which an entity is linked or connected to a specific track, such as being part of, derived from, or relevant to that track.
-
D.
isConceptTrackOf
Indicates that one entity is a conceptual or abstract version of another entity, typically representing the underlying idea or theme rather than a specific concrete instance.
-
E.
partOfTrack
Indicates that something is a segment or component belonging to a larger track or route.
- F. None of above. chosen
Provenance (4 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 28, 2026, 11:58 a.m.