Triple
T10550695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swire Coca-Cola |
E248938
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object | Sprite |
E85132
|
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: Sprite | Statement: [Swire Coca-Cola, brandPortfolioIncludes, Sprite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprite Context triple: [Swire Coca-Cola, brandPortfolioIncludes, Sprite]
-
A.
Sprite
Sprite is an ageless, illusion-casting Eternal who appears as a child and struggles with their eternal youth in the Marvel film "Eternals."
-
B.
Sprite
chosen
Sprite is a popular lemon-lime flavored soft drink known for its crisp, caffeine-free taste and global presence.
-
C.
Pixels
Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
-
D.
Pixel
Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
-
E.
Sprite Ice
Sprite Ice is a mint-flavored variant of the Sprite soft drink, known for combining lemon-lime soda with a cooling menthol-like sensation.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d4c4048190a104d6e088f565b3 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d934639b3481908204db41101132c3 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:34 p.m.