Triple

T22102746
Position Surface form Disambiguated ID Type / Status
Subject Saaransh E546210 entity
Predicate writer P1360 FINISHED
Object Mahesh Bhatt 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: Mahesh Bhatt | Statement: [Saaransh, writer, Mahesh Bhatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahesh Bhatt
Context triple: [Saaransh, writer, Mahesh Bhatt]
  • A. Mahesh Bhatt chosen
    Mahesh Bhatt is a prominent Indian film director, producer, and screenwriter known for influential Hindi films such as "Arth," "Saaransh," and "Aashiqui."
  • B. 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."
  • C. Bimal Parekh
    Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
  • D. 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.
  • E. Ramesh Sippy
    Ramesh Sippy is a renowned Indian film director and producer best known for directing the iconic Bollywood classic "Sholay."
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129175a7881909549883f23c53dca completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.