Triple

T21203733
Position Surface form Disambiguated ID Type / Status
Subject Arun Athavale E522522 entity
Predicate partOf P40 FINISHED
Object Marathi film industry 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: Marathi film industry | Statement: [Arun Athavale, partOf, Marathi film industry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marathi film industry
Context triple: [Arun Athavale, partOf, Marathi film industry]
  • A. Marathi cinema chosen
    Marathi cinema is the film industry of the Marathi-language, primarily based in Maharashtra, India, known for its rich storytelling, literary adaptations, and socially conscious themes.
  • B. Gujarati cinema
    Gujarati cinema is the film industry producing movies in the Gujarati language, primarily based in the Indian state of Gujarat and known for its regional storytelling and cultural themes.
  • C. Mollywood
    Mollywood is the Malayalam-language film industry based in the Indian state of Kerala, known for its content-driven cinema and strong storytelling traditions.
  • D. Sandalwood film industry
    The Sandalwood film industry is the segment of Indian cinema dedicated to producing movies in the Kannada language, primarily based in Karnataka.
  • E. Bollywood cinema
    Bollywood cinema is the mainstream Hindi-language film industry based in Mumbai, India, known for its song-and-dance musicals, melodrama, and massive cultural influence across South Asia and the global Indian diaspora.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7343367308190b1b772d3c8e25dcb completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:19 p.m.