Triple

T5461831
Position Surface form Disambiguated ID Type / Status
Subject Indian cinema E122609 entity
Predicate award P107 FINISHED
Object Filmfare Awards E395043 NE FINISHED

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: Filmfare Awards | Statement: [Indian cinema, award, Filmfare Awards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filmfare Awards
Context triple: [Indian cinema, award, Filmfare Awards]
  • A. Filmfare Award chosen
    The Filmfare Award is one of India's most prestigious film honors, presented annually by Filmfare magazine to recognize excellence in Hindi cinema.
  • B. Filmfare Awards South
    The Filmfare Awards South are a major annual Indian film awards ceremony honoring artistic and technical excellence in South Indian cinema across multiple regional industries.
  • C. Vijay Awards
    Vijay Awards is an annual Indian film award ceremony that honors excellence in Tamil cinema across various artistic and technical categories.
  • D. Filmfare Lifetime Achievement Award
    The Filmfare Lifetime Achievement Award is a prestigious honor presented by Filmfare magazine to recognize outstanding and enduring contributions to Indian cinema.
  • E. National Film Award
    The National Film Award is one of India’s most prestigious film honors, presented annually by the government to recognize excellence in cinema across various categories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9201dbfc8190bea22d6ecbc25b3e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414ebd288190ae90593232ff2db9 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:08 p.m.