Triple
T32677629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinnamon Tree |
E835471
|
entity |
| Predicate | hasMusicalRoleForArtist |
P24740
|
FINISHED |
| Object | bass guitar |
—
|
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: bass guitar | Statement: [Cinnamon Tree, hasMusicalRoleForArtist, bass guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalRoleForArtist Context triple: [Cinnamon Tree, hasMusicalRoleForArtist, bass guitar]
-
A.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
B.
hasMusicalArtistRoleOfCreator
Indicates that the specified musical artist serves as the creator (e.g., composer, originator) of the referenced musical work or content.
-
C.
hasMusicalRoleOfCreator
Indicates that an entity serves as the originating creator (e.g., composer, songwriter) responsible for bringing a musical work into existence.
-
D.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
E.
hasMusicalArtistOccupation
Indicates that an entity has an occupation or professional role as a musical artist.
- 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_69f3493134b48190aa3c8cb523bd3800 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 1, 2026, 1:09 a.m.