Triple

T2325383
Position Surface form Disambiguated ID Type / Status
Subject Bose E48275 entity
Predicate notableBearer P458 FINISHED
Object Ashish Bose
Ashish Bose was a prominent Indian demographer known for his influential work on population studies and policy in India.
E262018 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: Ashish Bose | Statement: [Bose, notableBearer, Ashish Bose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashish Bose
Context triple: [Bose, notableBearer, Ashish Bose]
  • A. Kamal Bose
    Kamal Bose was a renowned Indian cinematographer celebrated for his work on classic Hindi films, particularly in collaboration with directors like Bimal Roy.
  • B. Asit K. Biswas
    Asit K. Biswas is a renowned water resources expert and academic known for his pioneering work in global water management and policy.
  • C. S K Bose
    S. K. Bose is a notable scholar associated with the Delhi School of Economics, recognized for his contributions to economic research and academia in India.
  • D. Sukhamoy Chakravarty
    Sukhamoy Chakravarty was a prominent Indian economist and planner known for his influential work on development economics and his role in shaping India’s economic policy.
  • E. Sanjay Banerji
    Sanjay Banerji is an economist and academic recognized for his scholarly contributions associated with the Delhi School of Economics.
  • 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: Ashish Bose
Triple: [Bose, notableBearer, Ashish Bose]
Generated description
Ashish Bose was a prominent Indian demographer known for his influential work on population studies and policy in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashish Bose
Target entity description: Ashish Bose was a prominent Indian demographer known for his influential work on population studies and policy in India.
  • A. Kamal Bose
    Kamal Bose was a renowned Indian cinematographer celebrated for his work on classic Hindi films, particularly in collaboration with directors like Bimal Roy.
  • B. Asit K. Biswas
    Asit K. Biswas is a renowned water resources expert and academic known for his pioneering work in global water management and policy.
  • C. S K Bose
    S. K. Bose is a notable scholar associated with the Delhi School of Economics, recognized for his contributions to economic research and academia in India.
  • D. Sukhamoy Chakravarty
    Sukhamoy Chakravarty was a prominent Indian economist and planner known for his influential work on development economics and his role in shaping India’s economic policy.
  • E. Sanjay Banerji
    Sanjay Banerji is an economist and academic recognized for his scholarly contributions associated with the Delhi School of Economics.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc649af4481908fdc0bc7f4777b71 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3be86dc8190af185bac9554e7d6 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb46f882881909294a3698ead865e completed March 9, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_69aeb4c715a88190b1009a2cf1d95441 completed March 9, 2026, 11:53 a.m.
Created at: March 4, 2026, 7:50 p.m.