Triple

T21110995
Position Surface form Disambiguated ID Type / Status
Subject Garm Hava E520168 entity
Predicate associatedWith P37 FINISHED
Object M. S. Sathyu 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: M. S. Sathyu | Statement: [Garm Hava, associatedWith, M. S. Sathyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M. S. Sathyu
Context triple: [Garm Hava, associatedWith, M. S. Sathyu]
  • A. M.S. Sathyu chosen
    M.S. Sathyu is an acclaimed Indian film director best known for his socially conscious and politically charged works, including the landmark film "Garm Hava," which helped define the parallel cinema movement.
  • B. Kamal Amrohi
    Kamal Amrohi was a renowned Indian film director, screenwriter, and producer best known for classic Hindi cinema works such as "Mahal" and "Pakeezah."
  • C. Hrishikesh Mukherjee
    Hrishikesh Mukherjee was a celebrated Indian film director and editor, best known for his warm, middle-class family dramas and comedies in Hindi cinema from the 1960s to the 1980s.
  • D. Govind Nihalani
    Govind Nihalani is an acclaimed Indian cinematographer and filmmaker known for his work in parallel cinema and socially conscious films.
  • E. Bimal Roy
    Bimal Roy was a renowned Indian film director celebrated for his socially conscious, realist storytelling and classic Hindi films such as "Do Bigha Zamin" and "Bandini."
  • 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_69e72101f7308190beb202a052ff04d2 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.