Triple

T22229747
Position Surface form Disambiguated ID Type / Status
Subject Yash Chopra E549433 entity
Predicate workedWith P398 FINISHED
Object Sridevi 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: Sridevi | Statement: [Yash Chopra, workedWith, Sridevi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sridevi
Context triple: [Yash Chopra, workedWith, Sridevi]
  • A. Sridevi chosen
    Sridevi was a legendary Indian actress celebrated for her versatile performances across Tamil, Hindi, and other regional cinemas, and is widely regarded as one of the greatest and most influential actresses in Indian film history.
  • B. Madhuri Dixit
    Madhuri Dixit is a celebrated Indian actress and dancer, renowned for her leading roles in Hindi cinema since the late 1980s and widely regarded as one of Bollywood’s most iconic stars.
  • C. Raveena Tandon
    Raveena Tandon is an Indian actress and producer known for her prominent roles in 1990s and early 2000s Bollywood films and for winning the National Film Award for Best Actress.
  • D. Karisma Kapoor
    Karisma Kapoor is an acclaimed Indian film actress best known for her leading roles in popular Hindi movies of the 1990s and early 2000s.
  • E. Saira Banu
    Saira Banu is a celebrated Indian film actress best known for her work in Hindi cinema during the 1960s and 1970s and as the wife of legendary actor Dilip Kumar.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf173308190a3d21bfc59b39728 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.