Triple

T7660533
Position Surface form Disambiguated ID Type / Status
Subject Guerrilla E173491 entity
Predicate starring P1507 FINISHED
Object Ferdous Ahmed
Ferdous Ahmed is a prominent Bangladeshi film actor known for his leading roles in both commercial and critically acclaimed cinema.
E688185 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: Ferdous Ahmed | Statement: [Guerrilla, starring, Ferdous Ahmed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferdous Ahmed
Context triple: [Guerrilla, starring, Ferdous Ahmed]
  • A. Naimul Karim
    Naimul Karim is one of the children of Jawed Karim, the computer scientist and co-founder of YouTube.
  • B. Ebadat Hossain
    Ebadat Hossain is a screenwriter known for his work on the film "Guerrilla."
  • C. Anisul Hoque
    Anisul Hoque is a prominent Bangladeshi author, screenwriter, and journalist known for his novels, television dramas, and contributions to contemporary Bengali literature.
  • D. Hamidur Rahman
    Hamidur Rahman was a Bangladeshi artist and architect best known for designing the original Shaheed Minar monument in Dhaka commemorating the Language Movement martyrs.
  • E. Syed Shamsul Haque
    Syed Shamsul Haque was a prominent Bangladeshi writer and poet known for his significant contributions to modern Bengali literature across poetry, drama, and fiction.
  • 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: Ferdous Ahmed
Triple: [Guerrilla, starring, Ferdous Ahmed]
Generated description
Ferdous Ahmed is a prominent Bangladeshi film actor known for his leading roles in both commercial and critically acclaimed cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ferdous Ahmed
Target entity description: Ferdous Ahmed is a prominent Bangladeshi film actor known for his leading roles in both commercial and critically acclaimed cinema.
  • A. Naimul Karim
    Naimul Karim is one of the children of Jawed Karim, the computer scientist and co-founder of YouTube.
  • B. Ebadat Hossain
    Ebadat Hossain is a screenwriter known for his work on the film "Guerrilla."
  • C. Anisul Hoque
    Anisul Hoque is a prominent Bangladeshi author, screenwriter, and journalist known for his novels, television dramas, and contributions to contemporary Bengali literature.
  • D. Hamidur Rahman
    Hamidur Rahman was a Bangladeshi artist and architect best known for designing the original Shaheed Minar monument in Dhaka commemorating the Language Movement martyrs.
  • E. Syed Shamsul Haque
    Syed Shamsul Haque was a prominent Bangladeshi writer and poet known for his significant contributions to modern Bengali literature across poetry, drama, and fiction.
  • 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_69c8d6a339a48190936b962579d2d5a5 completed March 29, 2026, 7:37 a.m.
NEDg Description generation batch_69c8d74cc52c8190bbbfff7d4c57cc99 completed March 29, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_69c8d80a88f8819098bdb678e86f9be9 completed March 29, 2026, 7:43 a.m.
Created at: March 27, 2026, 3:59 p.m.