Triple

T9119184
Position Surface form Disambiguated ID Type / Status
Subject Garuda Purana E218800 entity
Predicate attributedTo P806 FINISHED
Object Vyasa (traditional attribution) E103237 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: Vyasa (traditional attribution) | Statement: [Garuda Purana, attributedTo, Vyasa (traditional attribution)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyasa (traditional attribution)
Context triple: [Garuda Purana, attributedTo, Vyasa (traditional attribution)]
  • A. Vyasa chosen
    Vyasa is the legendary sage in Hindu tradition credited with composing and compiling the Mahabharata and organizing the Vedas.
  • B. Vaishampayana
    Vaishampayana is an ancient sage and disciple of Vyasa, best known in Hindu tradition for reciting and transmitting the Mahabharata.
  • C. 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.
  • D. Valmiki
    Valmiki is the revered ancient Indian sage traditionally credited with composing the epic Sanskrit poem Ramayana.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a7c6d48190a015efd17a017ca1 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307c9f608190aad73bcf82ae334e completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.