Triple

T20351194
Position Surface form Disambiguated ID Type / Status
Subject Padatik E496013 entity
Predicate stars P1956 FINISHED
Object Kalyan Chatterjee
Kalyan Chatterjee is an Indian actor known for his work in Bengali cinema and theatre.
E1437709 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: Kalyan Chatterjee | Statement: [Padatik, stars, Kalyan Chatterjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalyan Chatterjee
Context triple: [Padatik, stars, Kalyan Chatterjee]
  • A. Basu Chatterjee
    Basu Chatterjee was an acclaimed Indian film director known for his gentle, middle-class-centric storytelling and key contributions to the Hindi New Wave and light-hearted social comedies of the 1970s and 1980s.
  • B. Barin Ghosh
    Barin Ghosh, also known as Barindra Kumar Ghosh, was an Indian revolutionary associated with the early nationalist and anti-colonial movement against British rule.
  • C. Shekhar Chatterjee
    Shekhar Chatterjee was an Indian actor known for his work in Bengali cinema and theatre.
  • D. Subrata Chatterjee
    Subrata Chatterjee is an Indian actor known for his work in Bengali cinema, including roles in classic films of the 1960s and 1970s.
  • E. Biswajit Chatterjee
    Biswajit Chatterjee is an Indian actor and filmmaker known for his work in Bengali and Hindi cinema, particularly from the 1960s and 1970s.
  • 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: Kalyan Chatterjee
Triple: [Padatik, stars, Kalyan Chatterjee]
Generated description
Kalyan Chatterjee is an Indian actor known for his work in Bengali cinema and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kalyan Chatterjee
Target entity description: Kalyan Chatterjee is an Indian actor known for his work in Bengali cinema and theatre.
  • A. Basu Chatterjee
    Basu Chatterjee was an acclaimed Indian film director known for his gentle, middle-class-centric storytelling and key contributions to the Hindi New Wave and light-hearted social comedies of the 1970s and 1980s.
  • B. Barin Ghosh
    Barin Ghosh, also known as Barindra Kumar Ghosh, was an Indian revolutionary associated with the early nationalist and anti-colonial movement against British rule.
  • C. Shekhar Chatterjee
    Shekhar Chatterjee was an Indian actor known for his work in Bengali cinema and theatre.
  • D. Subrata Chatterjee
    Subrata Chatterjee is an Indian actor known for his work in Bengali cinema, including roles in classic films of the 1960s and 1970s.
  • E. Biswajit Chatterjee
    Biswajit Chatterjee is an Indian actor and filmmaker known for his work in Bengali and Hindi cinema, particularly from the 1960s and 1970s.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6784f8ff48190a070888786f6a989 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a54cefe08190a3b7eb2bada9adad completed May 16, 2026, 5:11 p.m.
NEDg Description generation batch_6a08a630ab70819082eeb53aa80bc7fd completed May 16, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a08a6aad1bc8190a3c470c34d4434f6 completed May 16, 2026, 5:17 p.m.
Created at: April 16, 2026, 11:24 a.m.