Triple

T21939423
Position Surface form Disambiguated ID Type / Status
Subject Dhallywood E541778 entity
Predicate relatedTo P37 FINISHED
Object Bangladeshi cinema NE NERFINISHED

How this triple was built (3 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: Bangladeshi cinema | Statement: [Dhallywood, relatedTo, Bangladeshi cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangladeshi cinema
Context triple: [Dhallywood, relatedTo, Bangladeshi cinema]
  • A. Bengali cinema
    Bengali cinema is the film industry producing movies in the Bengali language, renowned for its rich artistic tradition and influential auteurs such as Satyajit Ray.
  • B. Pakistani cinema
    Pakistani cinema is the film industry of Pakistan, encompassing movies produced in various regional languages and known for its evolving storytelling, music, and cultural influence across South Asia.
  • C. Bhojpuri cinema
    Bhojpuri cinema is the film industry that produces movies in the Bhojpuri language, primarily catering to audiences in the Bhojpuri-speaking regions of India and Nepal.
  • D. Sindhi cinema
    Sindhi cinema is the film industry that produces movies in the Sindhi language, reflecting the culture and stories of Sindhi-speaking communities, primarily in Pakistan and India.
  • E. South Asian cinema
    South Asian cinema refers to the diverse film industries and cinematic traditions of countries in the South Asian region, including India, Pakistan, Bangladesh, Sri Lanka, Nepal, and others.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bangladeshi cinema
Target entity description: Bangladeshi cinema is the national film industry of Bangladesh, encompassing both mainstream commercial films and a growing art-house sector that reflects the country’s culture, language, and social issues.
  • A. Bengali cinema
    Bengali cinema is the film industry producing movies in the Bengali language, renowned for its rich artistic tradition and influential auteurs such as Satyajit Ray.
  • B. Pakistani cinema
    Pakistani cinema is the film industry of Pakistan, encompassing movies produced in various regional languages and known for its evolving storytelling, music, and cultural influence across South Asia.
  • C. Bhojpuri cinema
    Bhojpuri cinema is the film industry that produces movies in the Bhojpuri language, primarily catering to audiences in the Bhojpuri-speaking regions of India and Nepal.
  • D. Sindhi cinema
    Sindhi cinema is the film industry that produces movies in the Sindhi language, reflecting the culture and stories of Sindhi-speaking communities, primarily in Pakistan and India.
  • E. South Asian cinema
    South Asian cinema refers to the diverse film industries and cinematic traditions of countries in the South Asian region, including India, Pakistan, Bangladesh, Sri Lanka, Nepal, and others.
  • F. None of above. chosen

Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1241f582c81909a244419cec38b19 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:55 p.m.