Triple

T22102916
Position Surface form Disambiguated ID Type / Status
Subject Ram Lakhan E546213 entity
Predicate castMember P1668 FINISHED
Object Satish Kaushik 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: Satish Kaushik | Statement: [Ram Lakhan, castMember, Satish Kaushik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satish Kaushik
Context triple: [Ram Lakhan, castMember, Satish Kaushik]
  • A. Satish Kaushik chosen
    Satish Kaushik was an Indian actor, director, producer, and screenwriter known for his work in Hindi cinema and theatre, as well as for his memorable comic roles and acclaimed direction.
  • B. Satish Jain
    Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
  • C. Ashok Saraf
    Ashok Saraf is a veteran Indian actor and comedian best known for his prolific work in Marathi films and theatre, as well as memorable roles in Hindi cinema and television.
  • D. Vinod Dikshit
    Vinod Dikshit was an Indian civil servant and the husband of longtime Delhi Chief Minister Sheila Dikshit.
  • E. Satish Sharma
    Satish Sharma was an Indian National Congress politician and close associate of the Gandhi family who served multiple terms as a Member of Parliament and held ministerial positions in the central government.
  • 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.