Triple

T14875834
Position Surface form Disambiguated ID Type / Status
Subject NTR Gardens E349864 entity
Predicate dedicatedTo P500 FINISHED
Object N. T. Rama Rao E665578 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 | Statement: [NTR Gardens, dedicatedTo, N. T. Rama Rao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N. T. Rama Rao
Context triple: [NTR Gardens, dedicatedTo, N. T. Rama Rao]
  • A. N. T. Rama Rao chosen
    N. T. Rama Rao was a legendary Indian film actor, filmmaker, and politician who became one of Telugu cinema’s biggest icons and served as the Chief Minister of Andhra Pradesh.
  • B. Krishnam Raju
    Krishnam Raju was a prominent Indian film actor and politician, widely known as the "Rebel Star" of Telugu cinema.
  • C. N. T. Rama Rao Jr.
    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.
  • D. Ramoji Rao
    Ramoji Rao is an Indian media baron and entrepreneur best known as the founder of the vast Ramoji Film City studio complex and the Eenadu media group.
  • E. Chiranjeevi
    Chiranjeevi is a legendary Indian film actor and former politician, widely regarded as one of the biggest and most influential stars in Telugu cinema.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8192548190ad268b5804c97060 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:55 a.m.