Triple

T7991323
Position Surface form Disambiguated ID Type / Status
Subject Bishad Sindhu E186012 entity
Predicate author P4 FINISHED
Object Mir Mosharraf Hossain
Mir Mosharraf Hossain was a prominent 19th-century Bengali writer and social reformer, best known for his historical and religious novel "Bishad Sindhu."
 E702906 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: Mir Mosharraf Hossain | Statement: [Bishad Sindhu, author, Mir Mosharraf Hossain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mir Mosharraf Hossain
Context triple: [Bishad Sindhu, author, Mir Mosharraf Hossain]
  • A. Syed Shamsul Haque
    Syed Shamsul Haque was a prominent Bangladeshi writer and poet known for his significant contributions to modern Bengali literature across poetry, drama, and fiction.
  • B. Naimul Karim
    Naimul Karim is one of the children of Jawed Karim, the computer scientist and co-founder of YouTube.
  • C. Ebadat Hossain
    Ebadat Hossain is a screenwriter known for his work on the film "Guerrilla."
  • D. Hamidur Rahman
    Hamidur Rahman was a Bangladeshi artist and architect best known for designing the original Shaheed Minar monument in Dhaka commemorating the Language Movement martyrs.
  • E. Ferdous Ahmed
    Ferdous Ahmed is a prominent Bangladeshi film actor known for his leading roles in both commercial and critically acclaimed cinema.
  • 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: Mir Mosharraf Hossain
Triple: [Bishad Sindhu, author, Mir Mosharraf Hossain]
Generated description
Mir Mosharraf Hossain was a prominent 19th-century Bengali writer and social reformer, best known for his historical and religious novel "Bishad Sindhu."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mir Mosharraf Hossain
Target entity description: Mir Mosharraf Hossain was a prominent 19th-century Bengali writer and social reformer, best known for his historical and religious novel "Bishad Sindhu."
  • A. Syed Shamsul Haque
    Syed Shamsul Haque was a prominent Bangladeshi writer and poet known for his significant contributions to modern Bengali literature across poetry, drama, and fiction.
  • B. Naimul Karim
    Naimul Karim is one of the children of Jawed Karim, the computer scientist and co-founder of YouTube.
  • C. Ebadat Hossain
    Ebadat Hossain is a screenwriter known for his work on the film "Guerrilla."
  • D. Hamidur Rahman
    Hamidur Rahman was a Bangladeshi artist and architect best known for designing the original Shaheed Minar monument in Dhaka commemorating the Language Movement martyrs.
  • E. Ferdous Ahmed
    Ferdous Ahmed is a prominent Bangladeshi film actor known for his leading roles in both commercial and critically acclaimed cinema.
  • 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_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:16 p.m.