Triple

T2221724
Position Surface form Disambiguated ID Type / Status
Subject S. L. Bhyrappa E48154 entity
Predicate awardReceived P11 FINISHED
Object Pampa Award E47756 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: Pampa Award | Statement: [S. L. Bhyrappa, awardReceived, Pampa Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pampa Award
Context triple: [S. L. Bhyrappa, awardReceived, Pampa Award]
  • A. Pampa Award chosen
    The Pampa Award is a prestigious literary honor presented by the Karnataka government to recognize outstanding contributions to Kannada literature.
  • B. Sahitya Akademi Award
    The Sahitya Akademi Award is one of India’s most prestigious literary honors, presented annually to writers for outstanding works in the country’s various recognized languages.
  • C. Shiromani Sahitkar Award
    The Shiromani Sahitkar Award is a prestigious literary honor recognizing outstanding contributions to Punjabi literature.
  • D. Jnanpith Award
    The Jnanpith Award is one of India’s highest and most prestigious literary honors, presented annually to outstanding authors for their contributions to Indian literature in any of the recognized languages.
  • E. Rabindra Puraskar
    Rabindra Puraskar is a prestigious literary award presented annually for outstanding contributions to Bengali literature.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03bfdd48190bfb96ec3e41c22dc completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7efdb7a08190b74e841279b59971 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:47 p.m.