Triple

T2014370
Position Surface form Disambiguated ID Type / Status
Subject Mrinalini Devi E43760 entity
Predicate child P120 FINISHED
Object Mira Tagore E235120 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: Mira Tagore | Statement: [Mrinalini Devi, child, Mira Tagore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mira Tagore
Context triple: [Mrinalini Devi, child, Mira Tagore]
  • A. Renuka Tagore chosen
    Renuka Tagore was a member of the Tagore family of Bengal, known primarily as a daughter of Mrinalini Devi and thus part of the extended circle around Nobel laureate Rabindranath Tagore.
  • B. Suchitra Mitra
    Suchitra Mitra was a renowned Indian Rabindra Sangeet exponent, singer, and educator celebrated for her interpretations of Rabindranath Tagore’s songs.
  • C. Madhabi Mukherjee
    Madhabi Mukherjee is a renowned Indian actress best known for her powerful performances in classic Bengali films, particularly in collaboration with director Satyajit Ray.
  • D. Nabaneeta Dev Sen
    Nabaneeta Dev Sen was a prominent Indian Bengali writer, poet, and academic known for her contributions to contemporary Bengali literature and feminist thought.
  • E. Nandana Sen
    Nandana Sen is an Indian actress, writer, and child-rights activist known for her work in international and Bollywood films as well as her advocacy for children's welfare.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5179b3348190bfec5530baf4ca86 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:37 p.m.