Triple
T6107738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC Cola |
E136157
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Chero-Cola
Chero-Cola was the early 20th-century soft drink brand that later evolved into the better-known RC Cola.
|
E571108
|
NE FINISHED |
How this triple was built (4 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: Chero-Cola | Statement: [RC Cola, originalName, Chero-Cola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chero-Cola Context triple: [RC Cola, originalName, Chero-Cola]
-
A.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
B.
Diet Dr Pepper
Diet Dr Pepper is a sugar-free, low-calorie version of the Dr Pepper soft drink that maintains a similar distinctive flavor using artificial sweeteners.
-
C.
Nuka-Cola
Nuka-Cola is a fictional, highly recognizable soft drink brand in the Fallout video game universe, symbolizing the series’ retro-futuristic, post-apocalyptic setting.
-
D.
Mountain Dew
Mountain Dew is a popular citrus-flavored soft drink brand known for its high caffeine content and association with youth and extreme sports.
-
E.
Pepsi
Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chero-Cola Triple: [RC Cola, originalName, Chero-Cola]
Generated description
Chero-Cola was the early 20th-century soft drink brand that later evolved into the better-known RC Cola.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chero-Cola Target entity description: Chero-Cola was the early 20th-century soft drink brand that later evolved into the better-known RC Cola.
-
A.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
B.
Diet Dr Pepper
Diet Dr Pepper is a sugar-free, low-calorie version of the Dr Pepper soft drink that maintains a similar distinctive flavor using artificial sweeteners.
-
C.
Nuka-Cola
Nuka-Cola is a fictional, highly recognizable soft drink brand in the Fallout video game universe, symbolizing the series’ retro-futuristic, post-apocalyptic setting.
-
D.
Mountain Dew
Mountain Dew is a popular citrus-flavored soft drink brand known for its high caffeine content and association with youth and extreme sports.
-
E.
Pepsi
Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
- F. None of above. chosen
Provenance (5 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b81fad081909b622cafc6d51249 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13598c54c8190b3701de83005875c |
completed | March 23, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69c137d902c08190a857814ff70a82eb |
completed | March 23, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1389690e88190b1a9045c3a8fc892 |
completed | March 23, 2026, 12:56 p.m. |
Created at: March 22, 2026, 4:13 p.m.