My John Lewis
E636393
My John Lewis is the customer loyalty scheme of John Lewis & Partners, offering members personalized rewards, exclusive offers, and tailored shopping benefits.
All labels observed (1)
| Label | Occurrences |
|---|---|
| My John Lewis canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7040016 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: My John Lewis Context triple: [John Lewis & Partners, hasLoyaltyProgram, My John Lewis]
-
A.
Dear John
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
-
B.
Dear John
Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
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C.
My Michael
"My Michael" is a renowned novel by Israeli author Amos Oz that explores a troubled marriage and personal disillusionment in 1950s Jerusalem.
-
D.
My Brother
"My Brother" is a biographical book by Fatima Jinnah that portrays the life, character, and political struggle of her brother, Muhammad Ali Jinnah, the founder of Pakistan.
-
E.
Our Very Own
"Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: My John Lewis Target entity description: My John Lewis is the customer loyalty scheme of John Lewis & Partners, offering members personalized rewards, exclusive offers, and tailored shopping benefits.
-
A.
Dear John
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
-
B.
Dear John
Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
-
C.
My Michael
"My Michael" is a renowned novel by Israeli author Amos Oz that explores a troubled marriage and personal disillusionment in 1950s Jerusalem.
-
D.
My Brother
"My Brother" is a biographical book by Fatima Jinnah that portrays the life, character, and political struggle of her brother, Muhammad Ali Jinnah, the founder of Pakistan.
-
E.
Our Very Own
"Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
customer loyalty program
ⓘ
rewards scheme ⓘ |
| accessChannel |
email communications
ⓘ
mobile app ⓘ website ⓘ |
| associatedBrand |
John Lewis
NERFINISHED
ⓘ
Waitrose & Partners NERFINISHED ⓘ |
| benefitType |
discounts
ⓘ
early access to selected sales ⓘ member-only events ⓘ partner offers ⓘ personalised vouchers ⓘ special promotions ⓘ |
| brandPositioning | customer-centric loyalty scheme ⓘ |
| communicationType | personalised marketing emails ⓘ |
| country | United Kingdom ⓘ |
| dataUsage | uses customer purchase data to tailor offers ⓘ |
| enrollmentMethod |
in-store registration
ⓘ
online registration ⓘ |
| hasDigitalCard | yes ⓘ |
| industry | retail ⓘ |
| membershipType | free membership ⓘ |
| offers |
exclusive offers
ⓘ
personalised rewards ⓘ tailored shopping benefits ⓘ |
| operator | John Lewis & Partners NERFINISHED ⓘ |
| parentCompany | John Lewis Partnership NERFINISHED ⓘ |
| programType | non-points-based loyalty scheme ⓘ |
| sector | department store loyalty program ⓘ |
| serviceArea |
John Lewis department stores
NERFINISHED
ⓘ
John Lewis online store ⓘ |
| targetAudience | John Lewis customers ⓘ |
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.
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.
Subject: My John Lewis Description of subject: My John Lewis is the customer loyalty scheme of John Lewis & Partners, offering members personalized rewards, exclusive offers, and tailored shopping benefits.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.