Triple
T14044243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cinematic Orchestra |
E337916
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Burn Out |
E114517
|
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: Burn Out | Statement: [The Cinematic Orchestra, notableWork, Burn Out]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burn Out Context triple: [The Cinematic Orchestra, notableWork, Burn Out]
-
A.
Burnout
chosen
"Burnout" is a high-energy punk rock song by Green Day, best known as the opening track on their breakthrough 1994 album *Dookie*.
-
B.
Burn One Down
"Burn One Down" is a song best known as a notable single from the country music artist Clint Black.
-
C.
Burn One Down
"Burn One Down" is a popular rootsy, acoustic pro-cannabis anthem by American singer-songwriter Ben Harper, often celebrated as one of his signature songs.
-
D.
Crash & Burn
Crash & Burn is a psychological crime thriller novel by bestselling American author Lisa Gardner, featuring a complex investigation into a woman’s mysterious accidents and missing memories.
-
E.
Burn On
"Burn On" is a song by Randy Newman from his 1972 album "Sail Away," noted for its commentary on the polluted Cuyahoga River.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34148348190a8c67e035646e431 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.