Triple

T22111448
Position Surface form Disambiguated ID Type / Status
Subject Mahabharat (TV series) E546426 entity
Predicate stars P1956 FINISHED
Object Mukesh Khanna 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: Mukesh Khanna | Statement: [Mahabharat (TV series), stars, Mukesh Khanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mukesh Khanna
Context triple: [Mahabharat (TV series), stars, Mukesh Khanna]
  • A. Mukesh Khanna chosen
    Mukesh Khanna is an Indian actor best known for his iconic roles as Shaktimaan in the popular superhero TV series and Bhishma Pitamah in the television adaptation of the Mahabharat.
  • B. Rajesh Khanna
    Rajesh Khanna was a legendary Indian film actor and the first major superstar of Hindi cinema, renowned for his romantic roles and massive fan following in the late 1960s and 1970s.
  • C. Jeetendra
    Jeetendra is a veteran Indian film and television actor best known for his prolific work in Hindi cinema from the 1960s through the 1990s and his energetic dance-oriented roles.
  • D. Arbaaz Khan
    Arbaaz Khan is an Indian actor and film producer known for his work in Hindi cinema, including roles in action and thriller films.
  • E. Salman Khan
    Salman Khan is a major Indian film actor and producer, known for his blockbuster Hindi movies, larger-than-life screen persona, and significant influence on Bollywood popular culture.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12949cc7881908898ca7dc130f57f completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.