Triple

T22433177
Position Surface form Disambiguated ID Type / Status
Subject Ishqiya E554547 entity
Predicate editedBy P1954 FINISHED
Object A. Sreekar Prasad 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: A. Sreekar Prasad | Statement: [Ishqiya, editedBy, A. Sreekar Prasad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A. Sreekar Prasad
Context triple: [Ishqiya, editedBy, A. Sreekar Prasad]
  • A. A. Sreekar Prasad chosen
    A. Sreekar Prasad is a highly acclaimed Indian film editor known for his work across multiple languages and for holding a record number of National Film Awards for Best Editing.
  • B. K. V. Vijayendra Prasad
    K. V. Vijayendra Prasad is an acclaimed Indian screenwriter and director best known for penning blockbuster films such as Baahubali and RRR.
  • C. Venkatapathy Raju
    Venkatapathy Raju is a former Indian left-arm orthodox spin bowler who represented India in Tests and ODIs during the 1990s.
  • D. K. S. Ravikumar
    K. S. Ravikumar is a prominent Indian film director and screenwriter best known for his commercially successful and influential Tamil-language movies.
  • E. Koratala Siva
    Koratala Siva is an Indian film director and screenwriter known for his socially conscious and commercially successful Telugu-language films.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.