Seemabaddha
E718516
Seemabaddha is a Bengali novel by Mani Shankar Mukherjee that explores corporate ambition, moral compromise, and the alienation of the urban middle class.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Seemabaddha canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8197608 — 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: Seemabaddha Context triple: [Mani Shankar Mukherjee, notableWork, Seemabaddha]
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A.
Kabandha
Kabandha is a fearsome, deformed rakshasa (demon) from the Indian epic Ramayana, known for his monstrous trunk-like body and encounter with Rama and Lakshmana in the forest.
-
B.
Masbat
Masbat is a district within the Egyptian resort town of Dahab, known for its laid-back atmosphere, beachfront promenade, and proximity to popular Red Sea dive sites.
-
C.
Pamankada
Pamankada is a residential and commercial neighborhood within the city of Colombo, Sri Lanka.
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D.
Kebalan
Kebalan is an alternative name for the Kavalan language, an Austronesian language spoken by the indigenous Kavalan people of Taiwan.
-
E.
Bijwasan
Bijwasan is a suburban residential and semi-rural locality in the South West district of Delhi, India, known for its proximity to the Delhi–Gurugram border and the Indira Gandhi International Airport.
- 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: Seemabaddha Target entity description: Seemabaddha is a Bengali novel by Mani Shankar Mukherjee that explores corporate ambition, moral compromise, and the alienation of the urban middle class.
-
A.
Kabandha
Kabandha is a fearsome, deformed rakshasa (demon) from the Indian epic Ramayana, known for his monstrous trunk-like body and encounter with Rama and Lakshmana in the forest.
-
B.
Masbat
Masbat is a district within the Egyptian resort town of Dahab, known for its laid-back atmosphere, beachfront promenade, and proximity to popular Red Sea dive sites.
-
C.
Pamankada
Pamankada is a residential and commercial neighborhood within the city of Colombo, Sri Lanka.
-
D.
Kebalan
Kebalan is an alternative name for the Kavalan language, an Austronesian language spoken by the indigenous Kavalan people of Taiwan.
-
E.
Bijwasan
Bijwasan is a suburban residential and semi-rural locality in the South West district of Delhi, India, known for its proximity to the Delhi–Gurugram border and the Indira Gandhi International Airport.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
Bengali-language novel
ⓘ
film ⓘ novel ⓘ |
| adaptedInto | Seemabaddha (film) NERFINISHED ⓘ |
| author |
Mani Shankar Mukherjee
NERFINISHED
ⓘ
Shankar NERFINISHED ⓘ |
| basedOn | Seemabaddha NERFINISHED ⓘ |
| countryOfOrigin | India ⓘ |
| culturalContext | post-independence Indian middle class ⓘ |
| director | Satyajit Ray NERFINISHED ⓘ |
| explores |
conflict between personal values and professional success
ⓘ
ethical dilemmas in corporate culture ⓘ |
| genre |
novel
ⓘ
psychological fiction ⓘ social novel ⓘ |
| hasAlternativeNameOfAuthor | Shankar (Mani Shankar Mukherjee) NERFINISHED ⓘ |
| hasAuthorOccupation | Mani Shankar Mukherjee – novelist NERFINISHED ⓘ |
| language | Bengali NERFINISHED ⓘ |
| literaryForm | prose ⓘ |
| literaryMovement | modern Bengali literature ⓘ |
| mainTheme |
alienation of the urban middle class
ⓘ
corporate ambition ⓘ moral compromise ⓘ |
| narrativeFocus | urban middle-class life ⓘ |
| originalLanguage | Bengali ⓘ |
| portrays |
pressures of career advancement
ⓘ
urban alienation ⓘ |
| setting |
Kolkata
NERFINISHED
ⓘ
urban corporate environment ⓘ |
| targetAudience | adult readers ⓘ |
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: Seemabaddha Description of subject: Seemabaddha is a Bengali novel by Mani Shankar Mukherjee that explores corporate ambition, moral compromise, and the alienation of the urban middle class.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.