Triple

T19882701
Position Surface form Disambiguated ID Type / Status
Subject Angiras E477818 entity
Predicate hasSpouse P13 FINISHED
Object Smriti 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: Smriti | Statement: [Angiras, hasSpouse, Smriti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smriti
Context triple: [Angiras, hasSpouse, Smriti]
  • A. Smriti chosen
    Smriti is a body of later Hindu sacred literature, including texts like the epics and law codes, that is considered human-authored and traditionally distinguished from the more authoritative, revealed scriptures known as Shruti.
  • B. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • C. Sucharita
    Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
  • D. Shraddha
    Shraddha is a figure in Hindu tradition known as the wife of Shraddhadeva Manu, the progenitor of mankind in the current cosmic age.
  • E. Shilpa
    Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658e0ccc88190b6f093035cd6f2a1 completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.