Triple

T12760026
Position Surface form Disambiguated ID Type / Status
Subject Gogol Ganguli E304966 entity
Predicate familyName P18 FINISHED
Object Ganguli
Ganguli is a Bengali surname commonly associated with Indian families, notably featured in Jhumpa Lahiri’s novel "The Namesake" through the character Gogol Ganguli.
 E999794 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ganguli | Statement: [Gogol Ganguli, familyName, Ganguli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ganguli
Context triple: [Gogol Ganguli, familyName, Ganguli]
  • A. Basu
    Basu is an Indian surname, particularly common among Bengali communities, that is closely related to and sometimes used as a variant of the surname Bose.
  • B. Chattopadhyay
    Chattopadhyay is a Bengali surname notably borne by influential Indian writer Sarat Chandra Chattopadhyay, renowned for his socially conscious novels and stories.
  • C. Deukhuri
    Deukhuri is a town in southwestern Nepal that serves as the administrative center of Lumbini (Province 5).
  • D. Sengupta
    Sengupta is a common Bengali surname originating from the Indian subcontinent, traditionally associated with Bengali Hindu communities.
  • E. Ghosh
    Ghosh is a common Indian Bengali surname historically associated with Hindu communities, particularly in the regions of West Bengal and Bangladesh.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ganguli
Triple: [Gogol Ganguli, familyName, Ganguli]
Generated description
Ganguli is a Bengali surname commonly associated with Indian families, notably featured in Jhumpa Lahiri’s novel "The Namesake" through the character Gogol Ganguli.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ganguli
Target entity description: Ganguli is a Bengali surname commonly associated with Indian families, notably featured in Jhumpa Lahiri’s novel "The Namesake" through the character Gogol Ganguli.
  • A. Basu
    Basu is an Indian surname, particularly common among Bengali communities, that is closely related to and sometimes used as a variant of the surname Bose.
  • B. Chattopadhyay
    Chattopadhyay is a Bengali surname notably borne by influential Indian writer Sarat Chandra Chattopadhyay, renowned for his socially conscious novels and stories.
  • C. Deukhuri
    Deukhuri is a town in southwestern Nepal that serves as the administrative center of Lumbini (Province 5).
  • D. Sengupta
    Sengupta is a common Bengali surname originating from the Indian subcontinent, traditionally associated with Bengali Hindu communities.
  • E. Ghosh
    Ghosh is a common Indian Bengali surname historically associated with Hindu communities, particularly in the regions of West Bengal and Bangladesh.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8e44188190840cd23d380bf23d completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67de27a348190ab61960bafe56ebc completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67e82e35081909c4b5fad7e941610 completed May 2, 2026, 10:45 p.m.
Created at: April 9, 2026, 5:28 p.m.