Triple

T6969560
Position Surface form Disambiguated ID Type / Status
Subject Pushpa: The Rise E161567 entity
Predicate castMember P1668 FINISHED
Object Rashmika Mandanna E641416 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: Rashmika Mandanna | Statement: [Pushpa: The Rise, castMember, Rashmika Mandanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rashmika Mandanna
Context triple: [Pushpa: The Rise, castMember, Rashmika Mandanna]
  • A. Rashmika Mandanna chosen
    Rashmika Mandanna is a popular Indian actress known for her work in Telugu and Kannada cinema, who has gained nationwide fame for her performances in several blockbuster films.
  • B. Tamannaah Bhatia
    Tamannaah Bhatia is an Indian film actress known for her prominent roles in Telugu, Tamil, and Hindi cinema.
  • C. Nayanthara
    Nayanthara is a leading Indian film actress, often called the "Lady Superstar" of South Indian cinema, known for her versatile performances in Tamil, Telugu, and Malayalam films.
  • D. Shriya Saran
    Shriya Saran is an Indian actress and model known for her work in Telugu, Tamil, and Hindi cinema, appearing in numerous commercially successful and critically acclaimed films.
  • E. Anushka Shetty
    Anushka Shetty is a prominent Indian actress best known for her leading roles in Telugu and Tamil cinema, including major historical and fantasy epics.
  • 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_69c7a30ef6d88190aa4bb0d70d54d263 completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:30 p.m.