Triple
T22223808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fever (song) |
E549280
|
entity |
| Predicate | originalPerformerGenre |
P147354
|
FINISHED |
| Object | rhythm and blues |
—
|
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: rhythm and blues | Statement: [Fever (song), originalPerformerGenre, rhythm and blues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPerformerGenre Context triple: [Fever (song), originalPerformerGenre, rhythm and blues]
-
A.
originalPerformer
Indicates that an entity is the first or initial performer of a work, role, or performance.
-
B.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
C.
originalArtistType
Indicates the type or category of the artist who originally created the work or content.
-
D.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
E.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
- F. None of above. chosen
Provenance (4 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b92b79c8190a8a4d33591abd763 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e723f65c5c8190a0ee3c539e5d0767 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:37 p.m.