Triple
T21752840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowntree's |
E536956
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Smarties |
—
|
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: Smarties | Statement: [Rowntree's, notableProduct, Smarties]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smarties Context triple: [Rowntree's, notableProduct, Smarties]
-
A.
Smarties
chosen
Smarties are colorful sugar-coated chocolate confectionery pieces popular as a candy treat, particularly in Europe and Canada.
-
B.
Smarties Prize
Smarties Prize was a prominent British children's book award sponsored by Nestlé that recognized outstanding literature for young readers.
-
C.
Skittles
Skittles is a popular bite-sized, fruit-flavored candy known for its colorful sugar shells and the slogan "Taste the Rainbow."
-
D.
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.
-
E.
M&M's
M&M's are colorful button-shaped chocolate candies with a hard sugar shell, famous for their “melts in your mouth, not in your hand” slogan and wide variety of flavors.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8b8b9c8190b1f6a8bc25d69dbb |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.