Triple
T4684251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Kracker |
E103880
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | In a Little While |
E130470
|
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: In a Little While | Statement: [Uncle Kracker, notableWork, In a Little While]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In a Little While Context triple: [Uncle Kracker, notableWork, In a Little While]
-
A.
In a Little While
chosen
"In a Little While" is a soulful, reflective song by the Irish rock band U2 from their 2000 album All That You Can’t Leave Behind.
-
B.
Just a Little While
"Just a Little While" is a pop-rock single by Janet Jackson from her 2004 album "Damita Jo."
-
C.
A Little Bit Longer
A Little Bit Longer is the Jonas Brothers' third studio album, featuring pop rock hits that helped solidify their mainstream success in the late 2000s.
-
D.
That Time
"That Time" is a short monologue play by Samuel Beckett, known for its fragmented narrative and demanding performance, notably interpreted by actress Billie Whitelaw.
-
E.
Cry a While
"Cry a While" is a country song recorded by the American duo Love and Theft.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63829b048190a2044de900ef7a69 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b07664819097d959fde1b0585b |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.