Triple

T4515927
Position Surface form Disambiguated ID Type / Status
Subject The Life Divine E102151 entity
Predicate relatedWork P37 FINISHED
Object Savitri E448864 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: Savitri | Statement: [The Life Divine, relatedWork, Savitri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savitri
Context triple: [The Life Divine, relatedWork, Savitri]
  • A. Goddess Savitri chosen
    Goddess Savitri is a Vedic solar deity revered as the personified divine light and wisdom invoked in the Gayatri Mantra.
  • B. Durgeshnandini
    Durgeshnandini is a pioneering 19th-century Bengali historical novel by Bankim Chandra Chattopadhyay, often regarded as one of the earliest major works of modern Bengali literature.
  • C. Gayatri
    Gayatri is a highly revered Vedic poetic meter consisting of three lines of eight syllables each, widely used in Hindu sacred hymns and mantras.
  • D. Devasena
    Devasena is a Hindu goddess known as one of the wives of the war god Kartikeya, often associated with valor and divine grace.
  • E. Kuhelika
    Kuhelika is a Bengali novel by Kazi Nazrul Islam that explores themes of social injustice, revolution, and human relationships.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5726983c8190bca116eeee54241c completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda42bd41c8190a9a25ccea6947089 completed March 20, 2026, 7:46 p.m.
Created at: March 20, 2026, 1:02 p.m.