Scranton branch
E788040
The Scranton branch is the central office setting of the U.S. television series "The Office," known for its quirky employees and mockumentary-style portrayal of everyday workplace life.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Dunder Mifflin Scranton branch | 11 |
| Scranton branch canonical | 6 |
| Dunder Mifflin Scranton | 2 |
| Dunder Mifflin Scranton office | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9279203 — 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: Scranton branch Context triple: [Michael Scott, branchManaged, Scranton branch]
-
A.
Doylestown Branch
The Doylestown Branch is a former Reading Railroad commuter rail line in southeastern Pennsylvania that connected Philadelphia with the town of Doylestown.
-
B.
Norristown Branch
The Norristown Branch is a commuter rail line in the Philadelphia region that connects the city with its northwestern suburbs, including Norristown.
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C.
New Hope Branch
New Hope Branch is a former Reading Railroad branch line in southeastern Pennsylvania that once provided rail service between the Philadelphia area and the town of New Hope.
-
D.
Waterbury Branch
The Waterbury Branch is a commuter rail line in Connecticut operated by Metro-North Railroad, running between Waterbury and the New Haven Line at Bridgeport.
-
E.
Harrisburg Division
Harrisburg Division is a regional division of the United States District Court for the Middle District of Pennsylvania that handles federal cases arising from the Harrisburg area and surrounding counties.
- 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: Scranton branch Target entity description: The Scranton branch is the central office setting of the U.S. television series "The Office," known for its quirky employees and mockumentary-style portrayal of everyday workplace life.
-
A.
Doylestown Branch
The Doylestown Branch is a former Reading Railroad commuter rail line in southeastern Pennsylvania that connected Philadelphia with the town of Doylestown.
-
B.
Norristown Branch
The Norristown Branch is a commuter rail line in the Philadelphia region that connects the city with its northwestern suburbs, including Norristown.
-
C.
New Hope Branch
New Hope Branch is a former Reading Railroad branch line in southeastern Pennsylvania that once provided rail service between the Philadelphia area and the town of New Hope.
-
D.
Waterbury Branch
The Waterbury Branch is a commuter rail line in Connecticut operated by Metro-North Railroad, running between Waterbury and the New Haven Line at Bridgeport.
-
E.
Harrisburg Division
Harrisburg Division is a regional division of the United States District Court for the Middle District of Pennsylvania that handles federal cases arising from the Harrisburg area and surrounding counties.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
fictional office branch
ⓘ
setting ⓘ |
| appearsIn | The Office (U.S. TV series) NERFINISHED ⓘ |
| basedOn | office culture in Scranton, Pennsylvania ⓘ |
| countryInFiction | United States NERFINISHED ⓘ |
| employsCharacter |
Andy Bernard
NERFINISHED
ⓘ
Angela Martin NERFINISHED ⓘ Creed Bratton NERFINISHED ⓘ Dwight Schrute NERFINISHED ⓘ Erin Hannon NERFINISHED ⓘ Jim Halpert NERFINISHED ⓘ Kelly Kapoor NERFINISHED ⓘ Kevin Malone NERFINISHED ⓘ Meredith Palmer NERFINISHED ⓘ Michael Scott NERFINISHED ⓘ Oscar Martinez NERFINISHED ⓘ Pam Beesly NERFINISHED ⓘ Phyllis Vance NERFINISHED ⓘ Ryan Howard NERFINISHED ⓘ Stanley Hudson NERFINISHED ⓘ Toby Flenderson NERFINISHED ⓘ |
| fictionalEmployer | paper company ⓘ |
| genreOfWorkEnvironment | workplace comedy ⓘ |
| hasAssistantToTheRegionalManager | Dwight Schrute NERFINISHED ⓘ |
| hasBossCharacter | Michael Scott NERFINISHED ⓘ |
| hasDepartment |
accounting department
ⓘ
human resources ⓘ reception ⓘ sales department ⓘ warehouse ⓘ |
| hasHRRepresentativeCharacter | Toby Flenderson NERFINISHED ⓘ |
| hasReceptionistCharacter | Pam Beesly NERFINISHED ⓘ |
| hasSalesmanCharacter | Jim Halpert NERFINISHED ⓘ |
| knownFor |
comedic office antics
ⓘ
everyday workplace life ⓘ quirky employees ⓘ |
| locatedInFictional | Scranton, Pennsylvania NERFINISHED ⓘ |
| medium | television ⓘ |
| partOf | Dunder Mifflin NERFINISHED ⓘ |
| portrayedInStyle | mockumentary ⓘ |
| primarySettingForSeason |
Season 1 of The Office (U.S.)
GENERATED
ⓘ
Season 2 of The Office (U.S.) GENERATED ⓘ Season 3 of The Office (U.S.) GENERATED ⓘ Season 4 of The Office (U.S.) GENERATED ⓘ Season 5 of The Office (U.S.) GENERATED ⓘ Season 6 of The Office (U.S.) GENERATED ⓘ Season 7 of The Office (U.S.) GENERATED ⓘ Season 8 of The Office (U.S.) GENERATED ⓘ Season 9 of The Office (U.S.) GENERATED ⓘ |
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: Scranton branch Description of subject: The Scranton branch is the central office setting of the U.S. television series "The Office," known for its quirky employees and mockumentary-style portrayal of everyday workplace life.
Referenced by (20)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch
subject linked to:
"Diversity Day"
linked to: Scranton branch
subject linked to:
"Stress Relief"
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch
linked to: Scranton branch