Triple

T19626727
Position Surface form Disambiguated ID Type / Status
Subject Lakshmi avatar E471155 entity
Predicate hasForm P169 FINISHED
Object Padmavati 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: Padmavati | Statement: [Lakshmi avatar, hasForm, Padmavati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padmavati
Context triple: [Lakshmi avatar, hasForm, Padmavati]
  • A. Padmavati
    Padmavati is a Bengali literary work by 19th-century poet Michael Madhusudan Dutt, reflecting his pioneering role in modern Bengali poetry and drama.
  • B. Padmavati
    Padmavati is a figure in Hindu mythology known as the wife of King Ugrasena of Mathura and mother of Kamsa.
  • C. Padmavati chosen
    Padmavati is a revered Hindu goddess, considered an incarnation of Lakshmi and the consort of Lord Venkateswara, widely worshipped in South India.
  • D. Padmaavat
    Padmaavat is a 2018 Indian epic period drama film directed by Sanjay Leela Bhansali, loosely based on the legend of Rani Padmavati and known for its grand visuals, music, and controversial reception.
  • E. Chhapaak
    Chhapaak is a 2020 Hindi-language drama film inspired by the real-life story of acid attack survivor Laxmi Agarwal, starring Deepika Padukone and directed by Meghna Gulzar.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640eadcc48190ab5e36ddcde0c328 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.