Triple

T21943841
Position Surface form Disambiguated ID Type / Status
Subject Sahabzade Irfan Ali Khan E541886 entity
Predicate notableWork P4 FINISHED
Object Hindi Medium NE NERFINISHED

How this triple was built (2 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: Hindi Medium | Statement: [Sahabzade Irfan Ali Khan, notableWork, Hindi Medium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindi Medium
Context triple: [Sahabzade Irfan Ali Khan, notableWork, Hindi Medium]
  • A. Hindi Medium chosen
    Hindi Medium is a 2017 Indian Hindi-language comedy-drama film that critiques India’s education system and social class divide, starring Irrfan Khan in a widely acclaimed lead role.
  • B. Bajrangi Bhaijaan
    Bajrangi Bhaijaan is a 2015 Indian Hindi-language drama film starring Salman Khan that follows a devout man's journey to reunite a mute Pakistani girl with her family across the border.
  • C. The Hindu
    The Hindu is a major English-language daily newspaper in India known for its national and international news coverage, editorial depth, and influence on public discourse.
  • D. Chunky Pandey
    Chunky Pandey is an Indian film actor best known for his comic and character roles in numerous Bollywood movies since the late 1980s.
  • E. Khandaan
    Khandaan is an Indian television drama series known for its portrayal of an affluent joint family and its internal conflicts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69f1242515ec8190b015bf8c7b13be85 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.