Triple

T21945228
Position Surface form Disambiguated ID Type / Status
Subject Golmaal Again E541915 entity
Predicate hasCastMember P2308 FINISHED
Object Mukesh Tiwari 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 Tiwari | Statement: [Golmaal Again, hasCastMember, Mukesh Tiwari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mukesh Tiwari
Context triple: [Golmaal Again, hasCastMember, Mukesh Tiwari]
  • A. Mukesh Tiwari chosen
    Mukesh Tiwari is an Indian film and television actor best known for his character roles and villainous performances in Hindi cinema.
  • B. Arun Tiwari
    Arun Tiwari is an Indian missile scientist and author best known for co-authoring the autobiography "Wings of Fire" with A. P. J. Abdul Kalam.
  • C. Atul Tiwari
    Atul Tiwari is an Indian screenwriter and playwright known for his work on historical and biographical films, including the acclaimed movie "Bose: The Forgotten Hero."
  • D. Mukesh Goyal
    Mukesh Goyal is an individual notable enough to be specifically distinguished from others sharing the given name Mukesh.
  • E. Vijay Maurya
    Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.