Triple

T6302688
Position Surface form Disambiguated ID Type / Status
Subject Jahangirnagar University E141292 entity
Predicate hasNotableAlumni P51 FINISHED
Object Meher Afroz Shaon
Meher Afroz Shaon is a Bangladeshi actress, director, and television personality known for her work in drama and film as well as her collaborations with writer-director Humayun Ahmed.
E584643 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: Meher Afroz Shaon | Statement: [Jahangirnagar University, hasNotableAlumni, Meher Afroz Shaon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meher Afroz Shaon
Context triple: [Jahangirnagar University, hasNotableAlumni, Meher Afroz Shaon]
  • A. Sarai Alamgir
    Sarai Alamgir is a town in Punjab, Pakistan, situated along the Jhelum River and known for its strategic location on the historic Grand Trunk Road.
  • B. Wafa Begum
    Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • C. Qudsia Begum
    Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
  • D. Jani Begum
    Jani Begum was a Mughal royal consort known primarily as the wife of Emperor Azam Shah, son of Aurangzeb.
  • E. Lutfunnisa Begum
    Lutfunnisa Begum was a consort of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
  • 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: Meher Afroz Shaon
Triple: [Jahangirnagar University, hasNotableAlumni, Meher Afroz Shaon]
Generated description
Meher Afroz Shaon is a Bangladeshi actress, director, and television personality known for her work in drama and film as well as her collaborations with writer-director Humayun Ahmed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meher Afroz Shaon
Target entity description: Meher Afroz Shaon is a Bangladeshi actress, director, and television personality known for her work in drama and film as well as her collaborations with writer-director Humayun Ahmed.
  • A. Sarai Alamgir
    Sarai Alamgir is a town in Punjab, Pakistan, situated along the Jhelum River and known for its strategic location on the historic Grand Trunk Road.
  • B. Wafa Begum
    Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • C. Qudsia Begum
    Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
  • D. Jani Begum
    Jani Begum was a Mughal royal consort known primarily as the wife of Emperor Azam Shah, son of Aurangzeb.
  • E. Lutfunnisa Begum
    Lutfunnisa Begum was a consort of Siraj ud-Daulah, the last independent Nawab of Bengal in the mid-18th century.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645cfca88190ace060ef5b0e00e8 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e436e7ec8190a5ea470eb83ddaea completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5f3374b64819090c65e0bfdba116a completed March 27, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_69c5f3d2e39c8190b579638ce8897c2d completed March 27, 2026, 3:04 a.m.
Created at: March 22, 2026, 4:27 p.m.