Triple

T22103205
Position Surface form Disambiguated ID Type / Status
Subject Filmfare Award for Best Comedian E546219 entity
Predicate notableWinner P2766 FINISHED
Object Asrani 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: Asrani | Statement: [Filmfare Award for Best Comedian, notableWinner, Asrani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asrani
Context triple: [Filmfare Award for Best Comedian, notableWinner, Asrani]
  • A. Asrani chosen
    Asrani is an Indian actor and comedian best known for his prolific work in Hindi cinema, particularly in classic Bollywood films from the 1970s and 1980s.
  • B. Arnish
    Arnish is a small village located on the Isle of Raasay in the Inner Hebrides of Scotland.
  • C. Ganga Asnan
    Ganga Asnan is a Hindu religious festival observed by Indo-Mauritians that centers on ritual bathing in sacred waters to honor the river goddess Ganga and seek spiritual purification.
  • D. Aheri
    Aheri is a legislative assembly constituency located in the Gadchiroli district of Maharashtra, India.
  • E. Asshai
    Asshai is a mysterious, far-eastern city in the world of "A Song of Ice and Fire," famed for its pervasive darkness, sorcery, and ominous reputation among travelers and loremasters.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129175a7881909549883f23c53dca completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.