Triple

T4783423
Position Surface form Disambiguated ID Type / Status
Subject Dhananjaya E106418 entity
Predicate spouse P13 FINISHED
Object Subhadra E118368 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: Subhadra | Statement: [Dhananjaya, spouse, Subhadra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subhadra
Context triple: [Dhananjaya, spouse, Subhadra]
  • A. Subhadra chosen
    Subhadra is a revered princess in the Mahabharata, the sister of Krishna and Balarama and the mother of the hero Abhimanyu.
  • B. Sumitra
    Sumitra is a queen of Ayodhya in the Hindu epic Ramayana, known as one of King Dasharatha’s wives and the mother of the princes Lakshmana and Shatrughna.
  • C. Indrani
    Indrani is a Hindu goddess revered as the queen of the gods and a powerful deity associated with beauty, jealousy, and sovereignty.
  • D. Swarup Rani
    Swarup Rani was an Indian freedom fighter and political activist known for her role in the independence movement and as the wife of prominent nationalist Motilal Nehru.
  • E. Sharmistha
    Sharmistha is a celebrated Bengali literary work by 19th-century poet and dramatist Michael Madhusudan Dutt, known for its pioneering role in modern Bengali drama.
  • 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_69bd65ad3a188190872e47e3a3bf504b completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be778861a88190bf7c9f04d903a5e2 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:22 p.m.