Triple

T7121583
Position Surface form Disambiguated ID Type / Status
Subject Shamsur Rahman E165960 entity
Predicate employer P7 FINISHED
Object Banglar Bani
Banglar Bani was a prominent Bangladeshi newspaper known for its role in the country’s political and cultural discourse.
E644276 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: Banglar Bani | Statement: [Shamsur Rahman, employer, Banglar Bani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banglar Bani
Context triple: [Shamsur Rahman, employer, Banglar Bani]
  • A. Bangalee
    Bangalee is the popular stage nickname of Nigerian singer, songwriter, and harmonica-playing entertainer D'banj, known for his energetic Afrobeats hits.
  • B. The Bengalee
    The Bengalee was an influential English-language newspaper in colonial India known for its role in the nationalist movement and its association with prominent leader Surendranath Banerjee.
  • C. Banga
    Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
  • D. Banga
    Banga is a 2012 studio album by American musician and poet Patti Smith that blends rock, poetry, and literary references.
  • E. Banga
    Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
  • 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: Banglar Bani
Triple: [Shamsur Rahman, employer, Banglar Bani]
Generated description
Banglar Bani was a prominent Bangladeshi newspaper known for its role in the country’s political and cultural discourse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banglar Bani
Target entity description: Banglar Bani was a prominent Bangladeshi newspaper known for its role in the country’s political and cultural discourse.
  • A. Bangalee
    Bangalee is the popular stage nickname of Nigerian singer, songwriter, and harmonica-playing entertainer D'banj, known for his energetic Afrobeats hits.
  • B. Bangabda
    Bangabda is the traditional solar calendar used in the Bengal region, structuring the Bengali year for cultural, religious, and agricultural activities.
  • C. The Bengalee
    The Bengalee was an influential English-language newspaper in colonial India known for its role in the nationalist movement and its association with prominent leader Surendranath Banerjee.
  • D. Banga
    Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
  • E. Banga
    Banga is a 2012 studio album by American musician and poet Patti Smith that blends rock, poetry, and literary references.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61e67788190959fbd7fa6c929d3 completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a32ba9588190a078723207c4f823 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45ce628819085343c30f2886a95 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a60ac4348190a623522f2d8199e9 completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:44 p.m.