Triple

T18368206
Position Surface form Disambiguated ID Type / Status
Subject Kishan E440105 entity
Predicate alternativeTransliteration P5923 FINISHED
Object Kishen 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: Kishen | Statement: [Kishan, alternativeTransliteration, Kishen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kishen
Context triple: [Kishan, alternativeTransliteration, Kishen]
  • A. Kishan chosen
    Kishan is a male given name commonly used in India, often associated with Lord Krishna and prevalent across various Indian languages and cultures.
  • B. Karamlesh
    Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
  • C. Keshav
    Keshav is the given name of Keshav Baliram Hedgewar, the Indian physician and nationalist who founded the Rashtriya Swayamsevak Sangh (RSS).
  • D. Nikhilesh
    Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
  • E. Manohar
    Manohar is an Indian given name commonly used for men, often associated with individuals in politics, arts, and public life.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174f5f448190a1fc67d3039aadd9 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.