Triple

T18387940
Position Surface form Disambiguated ID Type / Status
Subject Narayan E449640 entity
Predicate scriptForm P9329 FINISHED
Object నారాయణ 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: నారాయణ | Statement: [Narayan, scriptForm, నారాయణ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: నారాయణ
Context triple: [Narayan, scriptForm, నారాయణ]
  • A. Suryanarayana
    Suryanarayana is a benevolent healing form of the Hindu sun god Surya, revered for restoring health and vitality.
  • B. Ramanaidu
    Ramanaidu is an Indian given name most notably associated with D. Ramanaidu, a prominent Telugu film producer and founder of Suresh Productions.
  • C. Narayana chosen
    Narayana is a revered name of the Hindu god Vishnu, especially associated with his role as the supreme preserver and sustainer of the universe.
  • D. Nayanairayanar
    Nayanairayanar is a Hindu deity venerated at the Nainativu Nagapooshani Amman Temple, associated with its sacred traditions and worship.
  • E. Venkata
    Venkata is the given name of Indian physicist and Nobel laureate C. V. Raman, renowned for discovering the Raman effect in light scattering.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e517a114c08190af1be1ae52c83b63 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:46 a.m.