Triple
T4135076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minute Maid |
E85133
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Minute Maid Hi Chew Juice |
E85133
|
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: Minute Maid Hi Chew Juice | Statement: [Minute Maid, hasBrand, Minute Maid Hi Chew Juice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minute Maid Hi Chew Juice Context triple: [Minute Maid, hasBrand, Minute Maid Hi Chew Juice]
-
A.
Minute Maid
chosen
Minute Maid is a well-known beverage brand specializing in fruit juices and juice drinks, owned by The Coca-Cola Company.
-
B.
Juicy Fruit
Juicy Fruit is a long-running fruit-flavored chewing gum brand produced by Wrigley, known for its distinctive sweet taste and bright yellow packaging.
-
C.
Cherry Coke
Cherry Coke is a cherry-flavored soft drink produced by The Coca-Cola Company as a variation of its classic cola.
-
D.
Ginger Ale
Ginger Ale is a supporting character in the action-comedy film "Kingsman: The Golden Circle," serving as a skilled American Statesman agent who assists the Kingsman organization.
-
E.
Pepsi Mango
Pepsi Mango is a flavored cola soft drink that combines the taste of classic Pepsi with a sweet mango flavor.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af023190608190bcc929c5996b7378 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c75e5c8190acc4ee72cb574432 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.