Triple

T21909764
Position Surface form Disambiguated ID Type / Status
Subject South Asian cinema E541028 entity
Predicate hasSubindustry P105701 FINISHED
Object Nepali-language 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: Nepali-language cinema | Statement: [South Asian cinema, hasSubindustry, Nepali-language cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nepali-language cinema
Context triple: [South Asian cinema, hasSubindustry, Nepali-language cinema]
  • A. 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.
  • B. Tibetan-language cinema
    Tibetan-language cinema is a body of films created primarily in the Tibetan language that explore Tibetan culture, history, spirituality, and contemporary life, often from Tibetan perspectives.
  • C. 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.
  • D. Afghan cinema
    Afghan cinema is the national film industry of Afghanistan, known for its resilience amid decades of conflict and its emerging body of socially conscious, often neorealist films that explore Afghan culture, war, and displacement.
  • E. Chhattisgarhi cinema
    Chhattisgarhi cinema is the regional film industry that produces movies in the Chhattisgarhi language, reflecting the culture and stories of the Indian state of Chhattisgarh.
  • 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: Nepali-language cinema
Target entity description: Nepali-language cinema is the film industry that produces movies in the Nepali language, primarily based in Nepal and known for reflecting the country’s culture, society, and landscapes.
  • A. 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.
  • B. Tibetan-language cinema
    Tibetan-language cinema is a body of films created primarily in the Tibetan language that explore Tibetan culture, history, spirituality, and contemporary life, often from Tibetan perspectives.
  • C. 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.
  • D. Afghan cinema
    Afghan cinema is the national film industry of Afghanistan, known for its resilience amid decades of conflict and its emerging body of socially conscious, often neorealist films that explore Afghan culture, war, and displacement.
  • E. Chhattisgarhi cinema
    Chhattisgarhi cinema is the regional film industry that produces movies in the Chhattisgarhi language, reflecting the culture and stories of the Indian state of Chhattisgarh.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d9796881909fc1454a7b61b8fe completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:40 p.m.