Triple
T12201120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song for the Asking |
E290710
|
entity |
| Predicate | performerRoleOfArtGarfunkel |
P27956
|
FINISHED |
| Object | vocals |
—
|
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: vocals | Statement: [Song for the Asking, performerRoleOfArtGarfunkel, vocals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerRoleOfArtGarfunkel Context triple: [Song for the Asking, performerRoleOfArtGarfunkel, vocals]
-
A.
performerRole_Paul McCartney
Indicates that Paul McCartney serves or is credited in a specific performer role within a performance or creative work.
-
B.
performerRole_Denny Laine
Indicates that the entity participated as a performer specifically in the role associated with Denny Laine (e.g., performing parts or functions attributed to Denny Laine).
-
C.
performedAsSingerIn
chosen
Indicates that an entity took part in a performance specifically in the role of a singer within a particular event, production, or context.
-
D.
performerRole_Linda McCartney
Indicates that Linda McCartney served in the role of a performer in the referenced context or event.
-
E.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.