Triple

T6969235
Position Surface form Disambiguated ID Type / Status
Subject S. S. Rajamouli E161560 entity
Predicate father P120 FINISHED
Object K. V. Vijayendra Prasad E640547 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: K. V. Vijayendra Prasad | Statement: [S. S. Rajamouli, father, K. V. Vijayendra Prasad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K. V. Vijayendra Prasad
Context triple: [S. S. Rajamouli, father, K. V. Vijayendra Prasad]
  • A. K. V. Vijayendra Prasad chosen
    K. V. Vijayendra Prasad is an acclaimed Indian screenwriter and director best known for penning blockbuster films such as Baahubali and RRR.
  • B. K L Krishna
    K. L. Krishna is an Indian economist recognized for his contributions to econometrics and economic theory, and for his long association with the Delhi School of Economics.
  • C. K. Balaji
    K. Balaji was an Indian film producer and actor known for his work in Tamil cinema and for producing several successful remakes of Hindi films.
  • D. Koratala Siva
    Koratala Siva is an Indian film director and screenwriter known for his socially conscious and commercially successful Telugu-language films.
  • E. D. Ramanaidu
    D. Ramanaidu was a prolific Indian film producer and founder of Suresh Productions, renowned for holding a Guinness World Record for producing the most films.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db152b2081909271493a5d1469fb completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c7bb480819092f2ec7b65fb4d28 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:30 p.m.