Triple

T20170804
Position Surface form Disambiguated ID Type / Status
Subject Ashok Kumar E491951 entity
Predicate notableWork P4 FINISHED
Object Achhut Kanya 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: Achhut Kanya | Statement: [Ashok Kumar, notableWork, Achhut Kanya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Achhut Kanya
Context triple: [Ashok Kumar, notableWork, Achhut Kanya]
  • A. Achhut Kanya chosen
    Achhut Kanya is a landmark 1936 Hindi social drama film that tackled caste discrimination and is regarded as one of early Indian cinema’s most influential reformist works.
  • 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. Chandramukhi
    Chandramukhi is a courtesan and one of the central tragic figures in Sarat Chandra Chattopadhyay’s novel "Devdas," known for her deep, unrequited love and devotion to the protagonist.
  • D. Chandramukhi
    Chandramukhi is a hugely popular 2005 Tamil horror-comedy film that became one of Rajinikanth’s most successful and influential movies.
  • E. Kanchanmala
    Kanchanmala is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66847ed9481908e6b23b399fa7005 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.