Old Corner Bookstore
E60577
The Old Corner Bookstore is a historic 18th-century brick building in downtown Boston that became a famed 19th-century publishing hub and now serves as a landmark along the Freedom Trail.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Old Corner Bookstore canonical | 4 |
| Old Corner Bookstore site | 2 |
| Old Corner Bookstore, Boston | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T486315 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Corner Bookstore Context triple: [Freedom Trail, hasSite, Old Corner Bookstore]
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A.
City Lights Bookstore
City Lights Bookstore is a historic independent bookstore and literary landmark in San Francisco renowned for its Beat Generation associations and progressive publishing.
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B.
Shakespeare and Company bookshop
Shakespeare and Company bookshop is a famous English-language bookstore and literary hub in Paris, long associated with expatriate writers of the 20th century and the city’s bohemian intellectual life.
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C.
Reuben Hoar Library
Reuben Hoar Library is the public library serving the town of Littleton, Massachusetts, providing community access to books, media, and educational resources.
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D.
Baker Library
Baker Library is Harvard Business School’s principal library, renowned for its extensive collections in business and management and its iconic presence on the Boston campus.
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E.
Hayden Library
Hayden Library is the main humanities and science library at the Massachusetts Institute of Technology, serving as a central hub for research and study on campus.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Corner Bookstore Target entity description: The Old Corner Bookstore is a historic 18th-century brick building in downtown Boston that became a famed 19th-century publishing hub and now serves as a landmark along the Freedom Trail.
-
A.
City Lights Bookstore
City Lights Bookstore is a historic independent bookstore and literary landmark in San Francisco renowned for its Beat Generation associations and progressive publishing.
-
B.
Shakespeare and Company bookshop
Shakespeare and Company bookshop is a famous English-language bookstore and literary hub in Paris, long associated with expatriate writers of the 20th century and the city’s bohemian intellectual life.
-
C.
Reuben Hoar Library
Reuben Hoar Library is the public library serving the town of Littleton, Massachusetts, providing community access to books, media, and educational resources.
-
D.
Baker Library
Baker Library is Harvard Business School’s principal library, renowned for its extensive collections in business and management and its iconic presence on the Boston campus.
-
E.
Hayden Library
Hayden Library is the main humanities and science library at the Massachusetts Institute of Technology, serving as a central hub for research and study on campus.
- F. None of above. chosen
Statements (48)
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: Old Corner Bookstore Description of subject: The Old Corner Bookstore is a historic 18th-century brick building in downtown Boston that became a famed 19th-century publishing hub and now serves as a landmark along the Freedom Trail.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Old Corner Bookstore, Boston
this entity surface form:
Old Corner Bookstore site
this entity surface form:
Old Corner Bookstore site