Triple

T11022923
Position Surface form Disambiguated ID Type / Status
Subject Kamal Bose E260534 entity
Predicate workedWith P398 FINISHED
Object Hrishikesh Mukherjee E701891 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: Hrishikesh Mukherjee | Statement: [Kamal Bose, workedWith, Hrishikesh Mukherjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hrishikesh Mukherjee
Context triple: [Kamal Bose, workedWith, Hrishikesh Mukherjee]
  • A. Hrishikesh Mukherjee chosen
    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.
  • B. Subhash Ghai
    Subhash Ghai is a prominent Indian film director, producer, and screenwriter known for directing several major Bollywood hits since the late 1970s.
  • C. Rakeysh Omprakash Mehra
    Rakeysh Omprakash Mehra is an acclaimed Indian filmmaker best known for directing socially charged and stylistically distinctive films such as "Rang De Basanti" and "Bhaag Milkha Bhaag."
  • D. Bimal Parekh
    Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
  • E. Govind Nihalani
    Govind Nihalani is an acclaimed Indian cinematographer and filmmaker known for his work in parallel cinema and socially conscious films.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bd88188190a644adc9283cabb8 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a997d7bc8190982467039e0f5504 completed April 18, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:25 p.m.