Triple

T18875844
Position Surface form Disambiguated ID Type / Status
Subject Lhakpa Tsamchoe E461681 entity
Predicate portrayedInLanguage P3681 FINISHED
Object Tibetan-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: Tibetan-language cinema | Statement: [Lhakpa Tsamchoe, portrayedInLanguage, Tibetan-language cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibetan-language cinema
Context triple: [Lhakpa Tsamchoe, portrayedInLanguage, Tibetan-language cinema]
  • A. Tulu cinema
    Tulu cinema is the regional film industry that produces movies in the Tulu language, primarily serving audiences in the coastal Karnataka region of India.
  • B. 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.
  • C. Pashto cinema
    Pashto cinema is the film industry producing movies in the Pashto language, primarily based in Pakistan’s Khyber Pakhtunkhwa region and catering to Pashto-speaking audiences.
  • D. Balochi cinema
    Balochi cinema is the regional film industry that produces movies in the Balochi language, reflecting the culture and stories of the Baloch people within Pakistan and neighboring regions.
  • E. 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.
  • 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: Tibetan-language cinema
Target entity description: 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.
  • A. Tulu cinema
    Tulu cinema is the regional film industry that produces movies in the Tulu language, primarily serving audiences in the coastal Karnataka region of India.
  • B. 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.
  • C. Pashto cinema
    Pashto cinema is the film industry producing movies in the Pashto language, primarily based in Pakistan’s Khyber Pakhtunkhwa region and catering to Pashto-speaking audiences.
  • D. Balochi cinema
    Balochi cinema is the regional film industry that produces movies in the Balochi language, reflecting the culture and stories of the Baloch people within Pakistan and neighboring regions.
  • E. 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.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3ce07788190a179705eb1b6c824 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.