Triple
T12366859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Stone Cherry discography |
E294895
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Mascot Records |
E294881
|
NE 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: Mascot Records | Statement: [Black Stone Cherry discography, publisher, Mascot Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mascot Records Context triple: [Black Stone Cherry discography, publisher, Mascot Records]
-
A.
Mascot Records
chosen
Mascot Records is a music label known for releasing rock, blues, and progressive music from a diverse roster of international artists.
-
B.
Maverick Records
Maverick Records is an American record label co-founded by Madonna in the early 1990s, known for signing influential pop and alternative artists.
-
C.
Rosemart Records
Rosemart Records is a music label associated with American soul and R&B singer-songwriter Don Covay, known for releasing his work during the height of his recording career.
-
D.
Brando Records
Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
-
E.
Rowdy Records
Rowdy Records is a record label known for working with R&B artists such as Monica in the 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa502988190ba170dee90d9f394 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b926c5c81909427eb191ae75ec6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:54 p.m.