Triple

T6969370
Position Surface form Disambiguated ID Type / Status
Subject Mythri Movie Makers E161563 entity
Predicate notableWork P4 FINISHED
Object Rangasthalam E632297 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: Rangasthalam | Statement: [Mythri Movie Makers, notableWork, Rangasthalam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rangasthalam
Context triple: [Mythri Movie Makers, notableWork, Rangasthalam]
  • A. Rangasthalam chosen
    Rangasthalam is a critically acclaimed Telugu-language period action drama film known for its rustic village setting, powerful performances, and direction by Sukumar.
  • B. Trivikrama
    Trivikrama is a form of the Hindu god Vishnu celebrated for his three great strides that reclaimed the universe from the demon king Bali.
  • C. Soggadu
    Soggadu is a popular 1975 Telugu romantic drama film produced by D. Ramanaidu, regarded as one of the classics of Telugu cinema.
  • D. Nayakan
    Nayakan is a critically acclaimed 1987 Tamil crime drama film directed by Mani Ratnam, renowned for Kamal Haasan’s powerful performance and its portrayal of a Mumbai underworld don.
  • E. Srimanthudu
    Srimanthudu is a 2015 Telugu-language action drama film starring Mahesh Babu, acclaimed for its blend of commercial entertainment with a strong social message about rural development and responsibility.
  • 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_69c6db152b2081909271493a5d1469fb 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.