Triple

T21109779
Position Surface form Disambiguated ID Type / Status
Subject International Film Festival of India E520140 entity
Predicate industryEvent P7624 FINISHED
Object Film Bazaar 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: Film Bazaar | Statement: [International Film Festival of India, industryEvent, Film Bazaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Film Bazaar
Context triple: [International Film Festival of India, industryEvent, Film Bazaar]
  • A. Film Bazaar chosen
    Film Bazaar is a prominent South Asian film market and networking platform that connects filmmakers, producers, and industry professionals to foster independent and regional cinema.
  • B. FilmStruck
    FilmStruck was a subscription-based streaming service specializing in classic, arthouse, and independent films, including titles from the Criterion Collection.
  • C. JioCinema
    JioCinema is an Indian over-the-top (OTT) streaming platform offering movies, TV shows, sports, and original content, primarily to users of Reliance Jio’s digital ecosystem.
  • D. Reel Mall
    Reel Mall is a prominent upscale shopping and lifestyle center located in Shanghai’s central Jing’an District.
  • E. Marché du Film
    Marché du Film is the Cannes Film Festival’s major international film market, where industry professionals buy, sell, and promote films and projects.
  • 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_69e7210110a48190a6359b6732f6293d completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.