Triple

T7991313
Position Surface form Disambiguated ID Type / Status
Subject Sunil Gangopadhyay E186011 entity
Predicate notableCharacterCreated P9708 FINISHED
Object Kakababu
Kakababu is a popular fictional adventurer and former archaeologist from Bengali literature, best known as the physically disabled yet fearless hero of Sunil Gangopadhyay’s children’s adventure series.
E710981 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: Kakababu | Statement: [Sunil Gangopadhyay, notableCharacterCreated, Kakababu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kakababu
Context triple: [Sunil Gangopadhyay, notableCharacterCreated, Kakababu]
  • A. Kaxabu
    Kaxabu is an indigenous Formosan language of Taiwan traditionally spoken by the Kaxabu people.
  • B. Nakurbabu
    Nakurbabu is a recurring, comically timid and superstitious companion of Professor Shonku in Satyajit Ray’s Bengali science fiction stories.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • E. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • 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: Kakababu
Triple: [Sunil Gangopadhyay, notableCharacterCreated, Kakababu]
Generated description
Kakababu is a popular fictional adventurer and former archaeologist from Bengali literature, best known as the physically disabled yet fearless hero of Sunil Gangopadhyay’s children’s adventure series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kakababu
Target entity description: Kakababu is a popular fictional adventurer and former archaeologist from Bengali literature, best known as the physically disabled yet fearless hero of Sunil Gangopadhyay’s children’s adventure series.
  • A. Kaxabu
    Kaxabu is an indigenous Formosan language of Taiwan traditionally spoken by the Kaxabu people.
  • B. Nakurbabu
    Nakurbabu is a recurring, comically timid and superstitious companion of Professor Shonku in Satyajit Ray’s Bengali science fiction stories.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • E. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c6fc19c8190b98023e257c2f4f2 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b96ed48190b752865ef3855e46 completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc64bd6a088190b77e2709c76579e4 completed April 1, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_69cc66b0e1548190840e4335ff2b130f completed April 1, 2026, 12:28 a.m.
Created at: March 30, 2026, 5:16 p.m.