Share a Coke
E413409
Share a Coke is a personalized marketing campaign by Coca-Cola that replaced its logo on bottles and cans with popular names and phrases to encourage sharing and social engagement.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Coca-Cola advertising campaigns | 1 |
| Share a Coke canonical | 1 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Coca-Cola campaign
ⓘ
advertising campaign ⓘ marketing campaign ⓘ |
| award |
Cannes Lions International Festival of Creativity
ⓘ
surface form:
Cannes Lions award
|
| brand | Coca-Cola ⓘ |
| countryOfOrigin | Australia ⓘ |
| encouragedAction |
post photos online
ⓘ
search for bottles with specific names ⓘ share drinks with friends ⓘ |
| expandedToMarket |
Canada
ⓘ
China ⓘ Europe ⓘ Latin America ⓘ New Zealand ⓘ United Kingdom ⓘ United States of America ⓘ
surface form:
United States
|
| goal |
encourage sharing
ⓘ
increase sales ⓘ increase social engagement ⓘ |
| industry | beverage industry ⓘ |
| initialLaunchMarket | Australia ⓘ |
| keyFeature |
names printed on labels
ⓘ
personalized packaging ⓘ phrases printed on labels ⓘ |
| launchedBy | The Coca-Cola Company ⓘ |
| marketingChannel |
in-store promotions
ⓘ
out-of-home advertising ⓘ social media ⓘ |
| personalizationMethod |
printing nicknames
ⓘ
printing popular first names ⓘ printing relationship terms ⓘ |
| productType | soft drink ⓘ |
| recognizedFor |
consumer engagement
ⓘ
mass personalization in marketing ⓘ use of data-driven name selection ⓘ |
| relationshipTermExample |
Bestie
ⓘ
Dad ⓘ Mom ⓘ Soulmate ⓘ |
| replacedElement |
Coca-Cola logo on bottles
ⓘ
Coca-Cola logo on cans ⓘ |
| slogan | Share a Coke with... ⓘ |
| startDate | 2011 ⓘ |
| targetAudience |
teenagers
ⓘ
young adults ⓘ |
| usesHashtag | #ShareaCoke ⓘ |
| usesProduct |
Coca-Cola
ⓘ
Coca-Cola Zero Sugar ⓘ
surface form:
Coca-Cola Zero
Diet Coke ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Share a Coke Description of subject: Share a Coke is a personalized marketing campaign by Coca-Cola that replaced its logo on bottles and cans with popular names and phrases to encourage sharing and social engagement.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Coca-Cola advertising campaigns