Triple

T21944021
Position Surface form Disambiguated ID Type / Status
Subject The Lunchbox E541890 entity
Predicate producer P490 FINISHED
Object UTV Motion Pictures 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: UTV Motion Pictures | Statement: [The Lunchbox, producer, UTV Motion Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTV Motion Pictures
Context triple: [The Lunchbox, producer, UTV Motion Pictures]
  • A. UTV Motion Pictures chosen
    UTV Motion Pictures is a major Indian film production and distribution company known for backing prominent Bollywood and regional films.
  • B. UTV Live
    UTV Live is a regional television news programme broadcast in Northern Ireland on UTV.
  • C. Uco-Film
    Uco-Film was a German film production company active during the silent era, known for producing influential early works such as Fritz Lang’s "Dr. Mabuse the Gambler."
  • D. UTV
    UTV is a Northern Irish television broadcaster and media company best known for operating the UTV television channel, formerly Ulster Television.
  • E. DAR Motion Pictures
    DAR Motion Pictures is an Indian film production company known for backing critically acclaimed and content-driven cinema, including the internationally lauded film "The Lunchbox."
  • 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.