Triple
T29448978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bipolar Sunshine |
E746926
|
entity |
| Predicate | vocalRoleInWork |
P169488
|
FINISHED |
| Object | Middle (with DJ Snake) |
—
|
NE NERFINISHED |
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: Middle (with DJ Snake) | Statement: [Bipolar Sunshine, vocalRoleInWork, Middle (with DJ Snake)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalRoleInWork Context triple: [Bipolar Sunshine, vocalRoleInWork, Middle (with DJ Snake)]
-
A.
musicalRole
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
B.
roleInTheVoices
Indicates that an entity has a specific role or participation in the production or performance of "The Voices."
-
C.
voiceActingRoleIn
Indicates that an entity performs a voice acting role in a specified work or production.
-
D.
sungByRole
chosen
Indicates that a song or musical piece is performed vocally by an entity in a specific role (e.g., lead singer, backing vocalist).
-
E.
roleInVox
Indicates that an entity holds a specific role or function within a Vox-related context, such as a project, system, or organization named or described as "Vox."
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 28, 2026, 3:30 p.m.