Triple

T21110574
Position Surface form Disambiguated ID Type / Status
Subject Deepti Naval E520159 entity
Predicate workedWith P398 FINISHED
Object Saeed Akhtar Mirza 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: Saeed Akhtar Mirza | Statement: [Deepti Naval, workedWith, Saeed Akhtar Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saeed Akhtar Mirza
Context triple: [Deepti Naval, workedWith, Saeed Akhtar Mirza]
  • A. Saeed Akhtar Mirza chosen
    Saeed Akhtar Mirza is an Indian filmmaker and screenwriter known for his socially conscious, realist cinema and influential work in the Indian parallel film movement.
  • B. Najeeb Khan
    Najeeb Khan is an Indian cinematographer best known for his work on the iconic 1992 coming-of-age sports film "Jo Jeeta Wohi Sikandar."
  • C. Firhad Hakim
    Firhad Hakim is an Indian politician from West Bengal who serves as a senior leader of the All India Trinamool Congress and has held key ministerial and municipal posts in the state.
  • D. Sajjad Zaheer
    Sajjad Zaheer was an Indian Urdu writer, Marxist intellectual, and political activist who co-founded and led the Progressive Writers' Movement in South Asia.
  • E. Vaseem Khan
    Vaseem Khan is a British crime fiction author best known for his Baby Ganesh Agency series set in India and his Malabar House historical crime novels.
  • 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.