Triple

T18387979
Position Surface form Disambiguated ID Type / Status
Subject Narayan Apte E449641 entity
Predicate givenName P17 FINISHED
Object Narayan 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: Narayan | Statement: [Narayan Apte, givenName, Narayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narayan
Context triple: [Narayan Apte, givenName, Narayan]
  • A. Narayan chosen
    Narayan is a common Indian given name of Sanskrit origin, often associated with the Hindu god Vishnu.
  • B. Manmatha
    Manmatha is a Bengali literary work by Jyotirindranath Tagore, reflecting his contributions to 19th-century Bengali drama and literature.
  • C. Ruma Guha Thakurta
    Ruma Guha Thakurta was an Indian actress and singer known for her work in Bengali cinema and music, as well as for founding the Calcutta Youth Choir.
  • D. Mayurasharma
    Mayurasharma was an early 4th-century ruler in South India who established the Kadamba dynasty, one of the first native royal houses of Karnataka.
  • E. Guha Bala
    Guha Bala is a video game developer and entrepreneur best known as the co-founder and longtime leader of the studio Vicarious Visions, which worked on major franchises like Guitar Hero, Skylanders, and Crash Bandicoot.
  • 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.