Triple

T21111031
Position Surface form Disambiguated ID Type / Status
Subject Middle cinema (India) E520169 entity
Predicate notableFilm P22 FINISHED
Object Katha 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: Katha | Statement: [Middle cinema (India), notableFilm, Katha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katha
Context triple: [Middle cinema (India), notableFilm, Katha]
  • A. Katha chosen
    Katha is a critically acclaimed 1983 Hindi film directed by Sai Paranjpye, known for its charming slice-of-life storytelling and memorable performances, including that of Deepti Naval.
  • B. Katha
    Katha is a feminine given name, most notably borne by American poet, essayist, and feminist columnist Katha Pollitt.
  • C. Katha
    Katha is a town in northern Myanmar, known for its location on the Irrawaddy River and for inspiring the setting of George Orwell’s novel "Burmese Days."
  • D. Tahader Katha
    Tahader Katha is a Bengali film by acclaimed Indian director Buddhadeb Dasgupta that explores the psychological struggles of a freedom fighter returning to a changed society after India's independence.
  • E. Sekaler Katha
    Sekaler Katha is a notable literary work by Bengali writer, illustrator, and publisher Upendrakishore Ray Chowdhury, reflecting his contribution to early modern Bengali literature.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72101f7308190beb202a052ff04d2 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.