Triple
T8543304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nocturne: The Piano Album |
E202252
|
entity |
| Predicate | creditedRoleOfArtist |
P9640
|
FINISHED |
| Object | Japanese composer |
—
|
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: Japanese composer | Statement: [Nocturne: The Piano Album, creditedRoleOfArtist, Japanese composer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditedRoleOfArtist Context triple: [Nocturne: The Piano Album, creditedRoleOfArtist, Japanese composer]
-
A.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
-
B.
hasArtistRole
chosen
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
C.
artistNameCredit
Indicates that a specific artist is credited by name for their contribution to a work or production.
-
D.
mentionsArtist
Indicates that one entity explicitly refers to or cites an artist in its content or context.
-
E.
coverArtistOf
Indicates that one entity is the artist who created the cover artwork for another entity, such as a book, album, or publication.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e381d4819084e230389a3ecb77 |
completed | March 31, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:18 p.m.