Triple

T10213343
Position Surface form Disambiguated ID Type / Status
Subject Guru (2007 film) E242382 entity
Predicate editedBy P1954 FINISHED
Object A. Sreekar Prasad E653189 NE FINISHED

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: [Guru (2007 film), editedBy, A. Sreekar Prasad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A. Sreekar Prasad
Context triple: [Guru (2007 film), 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. Koratala Siva
    Koratala Siva is an Indian film director and screenwriter known for his socially conscious and commercially successful Telugu-language films.
  • D. Janardhan Rao
    Janardhan Rao was a son of the prominent Maratha Peshwa Baji Rao I, belonging to the influential Peshwa family of the Maratha Empire.
  • E. Vishnu Vardhan Induri
    Vishnu Vardhan Induri is an Indian film producer and entrepreneur best known for creating and organizing major South Indian cinema award platforms and events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d71c77f65c8190862fde1c2fae045b completed April 9, 2026, 3:26 a.m.
Created at: April 6, 2026, 11:03 a.m.