Triple
T22128517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White & Nerdy |
E546850
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | Volcano Records |
—
|
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: Volcano Records | Statement: [White & Nerdy, label, Volcano Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volcano Records Context triple: [White & Nerdy, label, Volcano Records]
-
A.
Volcano Records
chosen
Volcano Records is a music record label known for releasing albums by a variety of rock and alternative artists.
-
B.
Viva Records
Viva Records is a Philippine-based record label known for producing and distributing a wide range of popular local music across various genres.
-
C.
Everest Records
Everest Records is a record label known for releasing jazz and other genre recordings, including works by prominent drummer Jo Jones.
-
D.
Brando Records
Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
-
E.
Tomato Records
Tomato Records is an independent record label known for releasing blues, jazz, and roots music by influential artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12983acfc81908013f66acb31f198 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.