Triple

T22433150
Position Surface form Disambiguated ID Type / Status
Subject English Vinglish E554546 entity
Predicate leadActressComeback P6108 FINISHED
Object Sridevi NE NERFINISHED

How this triple was built (3 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: [English Vinglish, leadActressComeback, Sridevi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sridevi
Context triple: [English Vinglish, leadActressComeback, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leadActressComeback
Context triple: [English Vinglish, leadActressComeback, Sridevi]
  • A. leadActress chosen
    Indicates that the subject is the primary female performer in the specified film, show, or production.
  • B. leadActressChangedNameAfterRole
    Indicates that the lead actress adopted a new name after performing a particular role.
  • C. leadActorsReunited
    Indicates that the same lead actors who previously worked together are brought back to perform together again in a new production or project.
  • D. madeActressA
    Indicates that one entity caused or was responsible for another entity becoming an actress.
  • E. actorKnownForDramaticTurn
    Indicates that an actor is recognized for a notable shift from their usual roles into significantly more serious or dramatic performances.
  • F. None of above.

Provenance (3 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.