Triple

T22108757
Position Surface form Disambiguated ID Type / Status
Subject Krishna Sobti E546358 entity
Predicate awardReceived P11 FINISHED
Object Shiromani Sahitya Award NE NERFINISHED

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: Shiromani Sahitya Award | Statement: [Krishna Sobti, awardReceived, Shiromani Sahitya Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiromani Sahitya Award
Context triple: [Krishna Sobti, awardReceived, Shiromani Sahitya Award]
  • A. Shiromani Sahitkar Award chosen
    The Shiromani Sahitkar Award is a prestigious literary honor recognizing outstanding contributions to Punjabi literature.
  • B. Sahitya Sangskriti Puraskar
    Sahitya Sangskriti Puraskar is a Bangladeshi literary award recognizing significant contributions to literature and cultural writing.
  • C. Pampa Award
    The Pampa Award is a prestigious literary honor presented by the Karnataka government to recognize outstanding contributions to Kannada literature.
  • D. 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.
  • E. Ananda Puraskar
    Ananda Puraskar is a prestigious Bengali literary award presented annually to honor outstanding contributions to Bengali literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291b9c988190b3ddd06d1f40dc78 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.