Triple

T7351880
Position Surface form Disambiguated ID Type / Status
Subject Humayun Ahmed E169520 entity
Predicate notableWork P4 FINISHED
Object Nondito Noroke
Nondito Noroke is a popular Bengali novel by acclaimed Bangladeshi writer Humayun Ahmed, known for its blend of everyday realism with subtle philosophical and emotional depth.
 E659082 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: Nondito Noroke | Statement: [Humayun Ahmed, notableWork, Nondito Noroke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nondito Noroke
Context triple: [Humayun Ahmed, notableWork, Nondito Noroke]
  • A. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • B. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • C. Naoyoshi
    Naoyoshi is a Japanese given name commonly used for males.
  • D. Noyori
    Noyori is a Japanese surname most notably associated with Nobel Prize–winning chemist Ryoji Noyori, renowned for his work in asymmetric catalysis.
  • E. Barakude
    Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
  • 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: Nondito Noroke
Triple: [Humayun Ahmed, notableWork, Nondito Noroke]
Generated description
Nondito Noroke is a popular Bengali novel by acclaimed Bangladeshi writer Humayun Ahmed, known for its blend of everyday realism with subtle philosophical and emotional depth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nondito Noroke
Target entity description: Nondito Noroke is a popular Bengali novel by acclaimed Bangladeshi writer Humayun Ahmed, known for its blend of everyday realism with subtle philosophical and emotional depth.
  • A. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • B. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • C. Naoyoshi
    Naoyoshi is a Japanese given name commonly used for males.
  • D. Noyori
    Noyori is a Japanese surname most notably associated with Nobel Prize–winning chemist Ryoji Noyori, renowned for his work in asymmetric catalysis.
  • E. Barakude
    Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10b4adc81909a5a0eacaf2b1887 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa99a9148190b67e49c8c8674042 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbbff6f081909b694dea7e572ec2 completed March 28, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_69c7fc2f66248190bac3fa24d530b938 completed March 28, 2026, 4:05 p.m.
Created at: March 27, 2026, 3:05 p.m.