Triple

T18399706
Position Surface form Disambiguated ID Type / Status
Subject Vana Parva E449958 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Damayanti 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: Damayanti | Statement: [Vana Parva, associatedWithCharacter, Damayanti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damayanti
Context triple: [Vana Parva, associatedWithCharacter, Damayanti]
  • A. Damayanti chosen
    Damayanti is a celebrated heroine in Hindu mythology, renowned for her beauty, virtue, and unwavering devotion to her husband Nala in the epic tale of their trials and separation.
  • B. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • C. Padmini
    Padmini was a renowned Indian actress and classical Bharatanatyam dancer who gained fame through her work in South Indian and Hindi cinema.
  • D. Mangalambika
    Mangalambika is a Hindu goddess revered as the consort of Lord Shiva at the Adi Kumbeswarar Temple in Kumbakonam, Tamil Nadu.
  • E. Meenakshi
    Meenakshi is a revered form of the Hindu goddess Parvati, worshipped especially in South India as the fish-eyed consort of Shiva and patron deity of Madurai.
  • 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_69e518499b1481909c5de786c48faeba completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.