Triple

T7730105
Position Surface form Disambiguated ID Type / Status
Subject Srijit Mukherji E175226 entity
Predicate directed P7373 FINISHED
Object Baishe Srabon E685173 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: Baishe Srabon | Statement: [Srijit Mukherji, directed, Baishe Srabon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baishe Srabon
Context triple: [Srijit Mukherji, directed, Baishe Srabon]
  • A. Baishe Srabon chosen
    Baishe Srabon is a critically acclaimed Bengali psychological thriller film centered on a series of poetic serial killings in Kolkata.
  • B. Srabon Megher Din
    Srabon Megher Din is a popular Bangladeshi romantic drama film written and directed by Humayun Ahmed, adapted from his own novel.
  • C. Swa Bhuwana Paksa
    Swa Bhuwana Paksa is the official motto of the Indonesian Air Force, expressing its role as the guardian and controller of the nation's airspace.
  • D. Paromitar Ek Din
    Paromitar Ek Din is a critically acclaimed Bengali drama film directed by Aparna Sen that explores the complex emotional bond between a woman and her former mother-in-law.
  • E. Mahasankatey Shonku
    Mahasankatey Shonku is a Bengali science fiction story by Satyajit Ray featuring the eccentric genius Professor Shonku facing a particularly perilous adventure.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3244088190be26dec90db9cfb3 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:06 p.m.