Triple
T18189664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Wilson – Let It Shine |
E435499
|
entity |
| Predicate | performerOccupationOfMainArtist |
P50979
|
FINISHED |
| Object | Beach Boys co-founder |
—
|
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: Beach Boys co-founder | Statement: [Brian Wilson – Let It Shine, performerOccupationOfMainArtist, Beach Boys co-founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerOccupationOfMainArtist Context triple: [Brian Wilson – Let It Shine, performerOccupationOfMainArtist, Beach Boys co-founder]
-
A.
hasMainPerformerOccupation
chosen
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
B.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
C.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
D.
hasMusicalArtistOccupation
Indicates that an entity has an occupation or professional role as a musical artist.
-
E.
typicalPerformerRoleType
Indicates the usual or characteristic role type that a performer commonly plays or is associated with in their performances.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0016ec08190ae853dbc89865a41 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.