Triple

T19814686
Position Surface form Disambiguated ID Type / Status
Subject Kuresa E476029 entity
Predicate hasHonorificName P6819 FINISHED
Object Koorathazhvan 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: Koorathazhvan | Statement: [Kuresa, hasHonorificName, Koorathazhvan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koorathazhvan
Context triple: [Kuresa, hasHonorificName, Koorathazhvan]
  • A. Koorathazhwan chosen
    Koorathazhwan was a prominent 11th–12th century Sri Vaishnava scholar and chief disciple of Ramanujacharya, renowned for his devotion, scriptural mastery, and role in preserving and propagating Vishishtadvaita philosophy.
  • B. Kallazhagar
    Kallazhagar is a revered form of the Hindu god Vishnu worshipped primarily in Tamil Nadu, especially celebrated during the Chithirai Festival in Madurai.
  • C. Koodal Azhagar
    Koodal Azhagar is a revered form of the Hindu god Vishnu worshipped primarily at the historic Koodal Azhagar Temple in Madurai, Tamil Nadu.
  • D. Koothandavar
    Koothandavar is a local form of the Mahabharata hero Aravan, venerated as a village deity in Tamil Nadu and central to the rituals and legends of the Koovagam festival.
  • E. Velaikkaran
    Velaikkaran is a 2017 Tamil-language social drama film starring Sivakarthikeyan that focuses on corporate corruption and the struggles of exploited workers.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f6495c81908e7eea359a60e40f completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.