Triple
T19140267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhiannon Giddens |
E468536
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Carolina Chocolate Drops |
—
|
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: Carolina Chocolate Drops | Statement: [Rhiannon Giddens, coFounded, Carolina Chocolate Drops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carolina Chocolate Drops Context triple: [Rhiannon Giddens, coFounded, Carolina Chocolate Drops]
-
A.
Carolina Chocolate Drops
chosen
Carolina Chocolate Drops is an American string band known for reviving and reinterpreting African American old-time and folk music traditions.
-
B.
Lickety Split
Lickety Split is an ice cream and dessert shop located within Pantopia at Busch Gardens Tampa Bay.
-
C.
Choladas
"Choladas" is a track from the album "Voice of the Xtabay," likely reflecting the record’s distinctive blend of exotic, atmospheric, and Latin-influenced music.
-
D.
Nilla Wafers
Nilla Wafers are a popular brand of small, round vanilla-flavored cookies commonly used for snacking and in desserts like banana pudding.
-
E.
Candy-O
Candy-O is the second studio album by American rock band The Cars, known for its sleek new wave sound and iconic Vargas cover art.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3f094f88190996279d7b548edea |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.