Triple
T34005067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtual Diva |
E871935
|
entity |
| Predicate | isElectronicFusionTrack |
P166064
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Virtual Diva, isElectronicFusionTrack, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElectronicFusionTrack Context triple: [Virtual Diva, isElectronicFusionTrack, true]
-
A.
isElectronicTrack
chosen
Indicates that a musical track belongs to the electronic music genre.
-
B.
isMechanicalOrElectronic
Indicates that something operates using mechanical components, electronic components, or a combination of both.
-
C.
hasElectronicEffect
Indicates that one entity exerts or contributes an electronic influence or effect on another entity within a specified context.
-
D.
hasElectronicBeat
Indicates that the associated music or audio features a rhythm or backing track produced using electronic instruments or digital sound processing.
-
E.
isElectrically
Indicates that one entity has an electrical property, connection, or interaction in relation to another entity.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:50 a.m.