Triple
T16269589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinny Burns |
E394962
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Burns Blue |
E1203856
|
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: Burns Blue | Statement: [Vinny Burns, associatedAct, Burns Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burns Blue Context triple: [Vinny Burns, associatedAct, Burns Blue]
-
A.
Burns Blue
chosen
Burns Blue is a melodic rock band formed by British guitarist Vinny Burns, known for its AOR-influenced sound and ties to the UK hard rock scene.
-
B.
The Burn
The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
-
C.
Burning Blue
Burning Blue is a 2013 drama film about U.S. Navy fighter pilots whose careers and relationships are tested when a forbidden romance and a series of accidents spark a military investigation.
-
D.
Burnt
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
-
E.
The Burning
"The Burning" is a popular episode of the sitcom *Seinfeld*, best known for featuring George Costanza’s “jerk store” comeback and Kramer’s storyline about medical students observing operations.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24608dd20819082f46a64af233038 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f90d4088190915d701978f018a5 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:05 a.m.