Triple

T1456871
Position Surface form Disambiguated ID Type / Status
Subject Kazi Nazrul Islam E31418 entity
Predicate notableWork P4 FINISHED
Object Agnibeena
Agnibeena is a celebrated Bengali poetry collection by Kazi Nazrul Islam that helped establish him as a pioneering rebel poet in modern Bengali literature.
 E168009 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: Agnibeena | Statement: [Kazi Nazrul Islam, notableWork, Agnibeena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agnibeena
Context triple: [Kazi Nazrul Islam, notableWork, Agnibeena]
  • A. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • B. Naihati
    Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
  • C. Pritha
    Pritha, better known as Kunti, is a prominent queen and mother of the Pandavas in the Indian epic Mahabharata.
  • D. Manjira
    Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
  • E. Panihati
    Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
  • 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: Agnibeena
Triple: [Kazi Nazrul Islam, notableWork, Agnibeena]
Generated description
Agnibeena is a celebrated Bengali poetry collection by Kazi Nazrul Islam that helped establish him as a pioneering rebel poet in modern Bengali literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agnibeena
Target entity description: Agnibeena is a celebrated Bengali poetry collection by Kazi Nazrul Islam that helped establish him as a pioneering rebel poet in modern Bengali literature.
  • A. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • B. Naihati
    Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
  • C. Pritha
    Pritha, better known as Kunti, is a prominent queen and mother of the Pandavas in the Indian epic Mahabharata.
  • D. Manjira
    Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
  • E. Panihati
    Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c598b30c8190b87207adf608b89a completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7643e081909a088035faf2022d completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad121fee9c81909efddee10191b791 completed March 8, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69ad127f25548190bdbcf99132237ad4 completed March 8, 2026, 6:09 a.m.
Created at: March 1, 2026, 8 p.m.