Triple
T18830709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Kracker |
E460519
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Double Wide |
—
|
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: Double Wide | Statement: [Uncle Kracker, notableAlbum, Double Wide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Double Wide Context triple: [Uncle Kracker, notableAlbum, Double Wide]
-
A.
Double Wide
chosen
Double Wide is the debut studio album by American musician Uncle Kracker, blending rock, country, and hip hop influences and featuring the hit single "Follow Me."
-
B.
Double Up
Double Up is a 2007 studio album by R. Kelly that blends R&B and hip hop, featuring numerous guest artists and club-oriented tracks.
-
C.
Double Up
"Double Up" is the second studio album by American rapper Mase, released in 1999 through Bad Boy Records.
-
D.
The Ultimate Double
The Ultimate Double is a crime novel by William C. Gordon, featuring a suspenseful mystery set against a vividly rendered Latin American backdrop.
-
E.
Doubleback
"Doubleback" is a 1990 blues-rock song by ZZ Top, best known for its prominent feature in the film *Back to the Future Part III*.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9992bb081908ba517a5c9d93ef3 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.