Triple
T17152823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanilla Coke |
E416263
|
entity |
| Predicate | relatedProduct |
P37
|
FINISHED |
| Object | Cherry Coke |
E413407
|
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: Cherry Coke | Statement: [Vanilla Coke, relatedProduct, Cherry Coke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherry Coke Context triple: [Vanilla Coke, relatedProduct, Cherry Coke]
-
A.
Cherry Coke
chosen
Cherry Coke is a cherry-flavored soft drink produced by The Coca-Cola Company as a variation of its classic cola.
-
B.
Cherrycoke
Cherrycoke is a surname most notably associated with Reverend Wicks Cherrycoke, a character in Thomas Pynchon's novel "Mason & Dixon."
-
C.
Pepsi Max Cherry
Pepsi Max Cherry is a cherry-flavored, sugar-free cola variant of Pepsi Max marketed as a low-calorie soft drink.
-
D.
Vanilla Coke
Vanilla Coke is a flavored soft drink produced by The Coca-Cola Company that combines the taste of classic Coca-Cola with vanilla.
-
E.
Orange Soda
"Orange Soda" is a breakout hip-hop single by rapper Baby Keem, known for its minimalist production, catchy hook, and viral popularity.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40861e08190bad1a3ec87691132 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148337a348190b8739eb3f553f1d9 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.