Triple

T9487909
Position Surface form Disambiguated ID Type / Status
Subject Vasi-vari E228808 entity
Predicate alternativeName P39 FINISHED
Object Prasun E800956 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: Prasun | Statement: [Vasi-vari, alternativeName, Prasun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prasun
Context triple: [Vasi-vari, alternativeName, Prasun]
  • A. Prasun
    Prasun is an indigenous ethnic group from the Nuristan region of Afghanistan, known for its distinct culture and language within the Indo-Iranian family.
  • B. Prasun chosen
    Prasun is a given name used in South Asian contexts, often associated with Indian or Nepali origins.
  • C. Parthibo
    Parthibo is a Bengali literary work by acclaimed author Shirshendu Mukhopadhyay, known for its distinctive storytelling and exploration of human relationships.
  • D. Basu
    Basu is an Indian surname, particularly common among Bengali communities, that is closely related to and sometimes used as a variant of the surname Bose.
  • E. Swarup
    Swarup is an Indian given name commonly used for males, derived from Sanskrit and generally meaning "form" or "true nature."
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d18fd908190b562fa0a8dad7c63 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:55 p.m.