Triple

T6540558
Position Surface form Disambiguated ID Type / Status
Subject Allu Arjun E168274 entity
Predicate relative P37 FINISHED
Object Chiranjeevi E161559 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: Chiranjeevi | Statement: [Allu Arjun, relative, Chiranjeevi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiranjeevi
Context triple: [Allu Arjun, relative, Chiranjeevi]
  • A. Chiranjeevi chosen
    Chiranjeevi is a legendary Indian film actor and former politician, widely regarded as one of the biggest and most influential stars in Telugu cinema.
  • B. Vijayakanth
    Vijayakanth is an Indian actor-turned-politician best known for his leading roles in Tamil cinema and for founding the Desiya Murpokku Dravida Kazhagam (DMDK) party.
  • C. Rajinikanth
    Rajinikanth is an iconic Indian film actor and cultural phenomenon, best known for his charismatic performances and larger-than-life roles primarily in Tamil cinema.
  • D. Allu Aravind
    Allu Aravind is a prominent Indian film producer and distributor, best known for founding the production company Geetha Arts and producing numerous successful Telugu and Hindi films.
  • E. 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.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eed36a7081909cb70b79f18b0dfc completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:50 p.m.