Triple

T22094490
Position Surface form Disambiguated ID Type / Status
Subject Jaane Bhi Do Yaaro E545989 entity
Predicate castMember P1668 FINISHED
Object Shafi Inamdar 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: Shafi Inamdar | Statement: [Jaane Bhi Do Yaaro, castMember, Shafi Inamdar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shafi Inamdar
Context triple: [Jaane Bhi Do Yaaro, castMember, Shafi Inamdar]
  • A. Shafi Inamdar chosen
    Shafi Inamdar was an Indian actor known for his work in Hindi films and television, particularly in popular series of the 1980s and 1990s.
  • B. Pavun Shetty
    Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
  • C. Rajendra Arlekar
    Rajendra Arlekar is an Indian politician and member of the Bharatiya Janata Party who has served as a state governor and previously held roles in legislative and party leadership.
  • D. Ninad Kamat
    Ninad Kamat is an Indian actor and voice artist known for his work in Hindi films, television, and dubbing for international movies.
  • E. Narhari Parikh
    Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.