Triple

T4782297
Position Surface form Disambiguated ID Type / Status
Subject Bala Kanda E106394 entity
Predicate traditionallyAttributedTo P6838 FINISHED
Object Valmiki E108941 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: Valmiki | Statement: [Bala Kanda, traditionallyAttributedTo, Valmiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valmiki
Context triple: [Bala Kanda, traditionallyAttributedTo, Valmiki]
  • A. Valmiki chosen
    Valmiki is the revered ancient Indian sage traditionally credited with composing the epic Sanskrit poem Ramayana.
  • B. Vyasa
    Vyasa is the legendary sage in Hindu tradition credited with composing and compiling the Mahabharata and organizing the Vedas.
  • C. Tulsidas
    Tulsidas was a 16th-century Indian poet-saint best known for composing the epic Ramcharitmanas, a retelling of the Ramayana in the vernacular that deeply influenced North Indian devotional culture.
  • D. Bharata Muni
    Bharata Muni is the ancient Indian sage traditionally credited with authoring the Nāṭyaśāstra, the foundational treatise on Sanskrit dramaturgy, performance, and aesthetic theory.
  • E. Nannaya
    Nannaya is revered as the first great poet of Telugu literature, best known for initiating the classical Telugu rendition of the Mahabharata.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65abd0a08190937102c44d102f12 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43d72e3881909184aeee29b623a0 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.