Triple

T6969552
Position Surface form Disambiguated ID Type / Status
Subject Pushpa: The Rise E161567 entity
Predicate producer P490 FINISHED
Object Naveen Yerneni E632304 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: Naveen Yerneni | Statement: [Pushpa: The Rise, producer, Naveen Yerneni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naveen Yerneni
Context triple: [Pushpa: The Rise, producer, Naveen Yerneni]
  • A. Naveen Yerneni chosen
    Naveen Yerneni is an Indian film producer and co-founder of the prominent Telugu production company Mythri Movie Makers, known for backing several major commercial and critically acclaimed films.
  • B. Srinu Vaitla
    Srinu Vaitla is an Indian film director best known for his work in Telugu cinema, particularly for directing successful commercial comedies and action entertainers.
  • C. Sanjay Reddy
    Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
  • D. Ravi Basrur
    Ravi Basrur is an Indian film music composer and sound designer best known for his work on high-profile Kannada films such as the K.G.F series.
  • E. Rahul Banga
    Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
  • 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_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78833914881909aa2ef993b89c7ab completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:30 p.m.