Triple

T19594452
Position Surface form Disambiguated ID Type / Status
Subject Queen of Ayodhya E470314 entity
Predicate associatedWith P37 FINISHED
Object Manthara 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: Manthara | Statement: [Queen of Ayodhya, associatedWith, Manthara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manthara
Context triple: [Queen of Ayodhya, associatedWith, Manthara]
  • A. Manthara chosen
    Manthara is a pivotal character in the Indian epic Ramayana, known as Queen Kaikeyi’s scheming maid whose manipulation leads to Rama’s exile.
  • B. Vidhaata
    Vidhaata is a 1982 Hindi action drama film directed by Subhash Ghai, known for its star-studded cast, popular music, and commercial success in Indian cinema.
  • C. Mandarmani
    Mandarmani is a seaside resort village in West Bengal, India, known for its long, drivable beach and growing popularity as a quieter alternative to busier coastal destinations.
  • D. Hayavadana
    Hayavadana is a celebrated Indian play by Girish Karnad that blends folk theatre, myth, and existential themes to explore questions of identity and completeness.
  • E. Maduraikāñci
    Maduraikāñci is a classical Tamil poem from the Sangam era, renowned for its vivid portrayal of the city of Madurai, its society, and cultural life.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640793cd88190b9b84491bfb2493f completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.