Triple

T7306329
Position Surface form Disambiguated ID Type / Status
Subject Begum Rokeya E167983 entity
Predicate notableWork P4 FINISHED
Object Oborodhbashini
Oborodhbashini is a pioneering feminist work of Bengali literature by Begum Rokeya that satirically exposes and critiques the seclusion and oppression of women in purdah.
 E655466 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: Oborodhbashini | Statement: [Begum Rokeya, notableWork, Oborodhbashini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oborodhbashini
Context triple: [Begum Rokeya, notableWork, Oborodhbashini]
  • A. Barbareta
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • B. Vrakuňa
    Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • C. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • D. Borzna
    Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
  • E. Dragna
    Dragna is a mysterious and menacing underworld boss who orchestrates the central deadly assignment in the crime thriller film "The Bag Man."
  • 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: Oborodhbashini
Triple: [Begum Rokeya, notableWork, Oborodhbashini]
Generated description
Oborodhbashini is a pioneering feminist work of Bengali literature by Begum Rokeya that satirically exposes and critiques the seclusion and oppression of women in purdah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oborodhbashini
Target entity description: Oborodhbashini is a pioneering feminist work of Bengali literature by Begum Rokeya that satirically exposes and critiques the seclusion and oppression of women in purdah.
  • A. Barbareta
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • B. Vrakuňa
    Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
  • C. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • D. Borzna
    Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
  • E. Dragna
    Dragna is a mysterious and menacing underworld boss who orchestrates the central deadly assignment in the crime thriller film "The Bag Man."
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd7dcf88190b3e66bea327fc63d completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e5603a288190a19d426905781cae completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e5ef420081908026576aaba34b11 completed March 28, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_69c7e67d64748190a4b5765a06413fd6 completed March 28, 2026, 2:32 p.m.
Created at: March 27, 2026, 3:01 p.m.