Triple
T17490416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Edd Wheeler |
E425888
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blistered |
—
|
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: Blistered | Statement: [Billy Edd Wheeler, notableWork, Blistered]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blistered Context triple: [Billy Edd Wheeler, notableWork, Blistered]
-
A.
Blistered
chosen
"Blistered" is a country song written by Billy Ed Wheeler that became best known through Waylon Jennings’ hit 1969 recording.
-
B.
Burnt
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
-
C.
Blazed
Blazed is a song featured on the album "Sweetener," known for its smooth, laid-back production and melodic, R&B-influenced style.
-
D.
Burned
Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
E.
Bleached
Bleached is a Los Angeles-based punk rock band known for its catchy, garage-influenced sound and energetic live performances.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d519488190a08da1b529c08445 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.