Triple

T7660534
Position Surface form Disambiguated ID Type / Status
Subject Guerrilla E173491 entity
Predicate starring P1507 FINISHED
Object Ahmed Rubel
Ahmed Rubel is a Bangladeshi actor known for his work in film, television, and theater.
E688518 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: Ahmed Rubel | Statement: [Guerrilla, starring, Ahmed Rubel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmed Rubel
Context triple: [Guerrilla, starring, Ahmed Rubel]
  • A. Ferdous Ahmed
    Ferdous Ahmed is a prominent Bangladeshi film actor known for his leading roles in both commercial and critically acclaimed cinema.
  • B. Naimul Karim
    Naimul Karim is one of the children of Jawed Karim, the computer scientist and co-founder of YouTube.
  • C. Najmul Hossain Shanto
    Najmul Hossain Shanto is a Bangladeshi international cricketer and top-order batter who has emerged as one of the leading figures in the country's Test side.
  • D. Faysal Ahmed
    Faysal Ahmed is a Somali-American actor best known for his role as one of the pirates in the 2013 film "Captain Phillips."
  • E. Shafiur Rahman
    Shafiur Rahman was a Bengali activist who became one of the early martyrs of the 1952 Language Movement in what was then East Bengal (now Bangladesh), symbolizing the struggle for recognition of the Bengali language.
  • 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: Ahmed Rubel
Triple: [Guerrilla, starring, Ahmed Rubel]
Generated description
Ahmed Rubel is a Bangladeshi actor known for his work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ahmed Rubel
Target entity description: Ahmed Rubel is a Bangladeshi actor known for his work in film, television, and theater.
  • A. Ferdous Ahmed
    Ferdous Ahmed is a prominent Bangladeshi film actor known for his leading roles in both commercial and critically acclaimed cinema.
  • B. Naimul Karim
    Naimul Karim is one of the children of Jawed Karim, the computer scientist and co-founder of YouTube.
  • C. Najmul Hossain Shanto
    Najmul Hossain Shanto is a Bangladeshi international cricketer and top-order batter who has emerged as one of the leading figures in the country's Test side.
  • D. Faysal Ahmed
    Faysal Ahmed is a Somali-American actor best known for his role as one of the pirates in the 2013 film "Captain Phillips."
  • E. Shafiur Rahman
    Shafiur Rahman was a Bengali activist who became one of the early martyrs of the 1952 Language Movement in what was then East Bengal (now Bangladesh), symbolizing the struggle for recognition of the Bengali language.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a47a5c8190867e39f552c86787 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8dea25d2081908ebbf2bb5f94b7d6 completed March 29, 2026, 8:11 a.m.
NEDg Description generation batch_69c8df209c688190af2e7d842d8abbdd completed March 29, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_69c8dfa7eb9881909e595389bec8436e completed March 29, 2026, 8:15 a.m.
Created at: March 27, 2026, 3:59 p.m.