Triple

T21428315
Position Surface form Disambiguated ID Type / Status
Subject Rudaali E528618 entity
Predicate screenwriter P2831 FINISHED
Object Kalpana Lajmi 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: Kalpana Lajmi | Statement: [Rudaali, screenwriter, Kalpana Lajmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalpana Lajmi
Context triple: [Rudaali, screenwriter, Kalpana Lajmi]
  • A. Kalpana Lajmi chosen
    Kalpana Lajmi was an Indian film director, producer, and screenwriter known for her socially conscious, women-centric films in parallel cinema.
  • B. Kalpana Pandit
    Kalpana Pandit is an Indian actress, model, and emergency physician known for her work in Hindi and regional films as well as her participation in Indian reality television.
  • C. Kalpana Das
    Kalpana Das is an Indian legal professional known primarily as the wife of Chief Justice of India Dhananjaya Y. Chandrachud.
  • D. Kalpana Saroj
    Kalpana Saroj is an Indian entrepreneur and former child bride who rose from extreme poverty and caste-based discrimination to become a highly successful business leader, often described as one of the inspirations for the “Slumdog Millionaire” story.
  • E. Kalpana Raghavendar
    Kalpana Raghavendar is an Indian playback singer known for her work in South Indian cinema and for gaining popularity through music reality shows.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3e74bcc81909ad66e3c59152ffc completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.