Triple

T11122210
Position Surface form Disambiguated ID Type / Status
Subject Shivarama Karanth E263042 entity
Predicate notableWork P4 FINISHED
Object Bettada Jeeva E263048 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: Bettada Jeeva | Statement: [Shivarama Karanth, notableWork, Bettada Jeeva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bettada Jeeva
Context triple: [Shivarama Karanth, notableWork, Bettada Jeeva]
  • A. Bettada Jeeva chosen
    Bettada Jeeva is a renowned Kannada novel celebrated for its vivid portrayal of rural life and human relationship with nature in the Western Ghats.
  • B. Bujjigadu
    Bujjigadu is a 2008 Telugu-language action film starring Prabhas, known for its mass entertainment style and energetic performance.
  • C. Devadasu
    Devadasu is a classic 1953 Telugu romantic drama film, widely regarded as one of Indian cinema’s most iconic tragic love stories.
  • D. Bommarillu
    Bommarillu is a popular 2006 Telugu romantic comedy-drama film celebrated for its engaging family-centric story, charming performances, and memorable music.
  • E. Soorarai Pottru
    Soorarai Pottru is a critically acclaimed 2020 Tamil-language drama film, inspired by the life of low-cost airline pioneer G. R. Gopinath, that follows an underdog’s struggle to make air travel affordable for everyone.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79afa0ab88190ab6d61df8cf485ec completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8406988190837a16d7ad8048d1 completed April 19, 2026, 1:19 a.m.
Created at: April 8, 2026, 9:28 p.m.