Triple
T10260390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Flight |
E240578
|
entity |
| Predicate | musicalRoleOfArtist |
P24740
|
FINISHED |
| Object | guitarist and vocalist |
—
|
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: guitarist and vocalist | Statement: [In Flight, musicalRoleOfArtist, guitarist and vocalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalRoleOfArtist Context triple: [In Flight, musicalRoleOfArtist, guitarist and vocalist]
-
A.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
B.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
C.
playsInRole
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
D.
typicalPerformerRoleType
Indicates the usual or characteristic role type that a performer commonly plays or is associated with in their performances.
-
E.
hasMusicalArtistType
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:32 a.m.