Triple
T18965702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In a Little While |
E464032
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Uncle Kracker |
—
|
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: Uncle Kracker | Statement: [In a Little While, artist, Uncle Kracker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uncle Kracker Context triple: [In a Little While, artist, Uncle Kracker]
-
A.
Uncle Kracker
chosen
Uncle Kracker is an American singer-songwriter and musician known for his blend of rock, country, and pop, and for hits like "Follow Me" and "Drift Away."
-
B.
Hal Ketchum
Hal Ketchum was an American country music singer-songwriter known for his smooth vocals and 1990s hits like "Small Town Saturday Night" and "Past the Point of Rescue."
-
C.
Sunny Sweeney
Sunny Sweeney is an American country music singer-songwriter known for her traditional honky-tonk style and charting singles on the Billboard country charts.
-
D.
Drew Adkins
Drew Adkins is an actor known for voicing the title character in the animated children's television series "Arthur."
-
E.
Michael Welch
Michael Welch is an American actor best known for his roles in film and television, including appearances in horror and teen dramas.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d663948190b496fbd2e69c7f43 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon