Triple

T7045221
Position Surface form Disambiguated ID Type / Status
Subject N. T. Rama Rao Jr. E163614 entity
Predicate name P16 FINISHED
Object N. T. Rama Rao Jr. E163614 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: N. T. Rama Rao Jr. | Statement: [N. T. Rama Rao Jr., name, N. T. Rama Rao Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N. T. Rama Rao Jr.
Context triple: [N. T. Rama Rao Jr., name, N. T. Rama Rao Jr.]
  • A. N. T. Rama Rao Jr. chosen
    N. T. Rama Rao Jr. is a prominent Indian film actor known for his leading roles in Telugu cinema and his dynamic performances in action and drama films.
  • B. Pawan Kalyan
    Pawan Kalyan is a prominent Indian film actor, producer, and politician best known for his work in Telugu cinema and his charismatic screen presence.
  • C. Venkatesh Daggubati
    Venkatesh Daggubati is a prominent Indian film actor best known for his work in Telugu cinema, where he has had a successful career spanning several decades.
  • D. Rana Daggubati
    Rana Daggubati is an Indian film actor and producer best known internationally for his role as the antagonist Bhallaladeva in the blockbuster "Baahubali" films.
  • E. Allu Venkatesh
    Allu Venkatesh is an Indian film producer and member of the prominent Allu family in the Telugu cinema industry.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e238c7a4819095f5ff7283d48da8 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8029da4688190ae479d3f791aa1c2 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 2:37 p.m.