Triple

T21428554
Position Surface form Disambiguated ID Type / Status
Subject Rajesh Khanna E528623 entity
Predicate notableWork P4 FINISHED
Object Aradhana 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: Aradhana | Statement: [Rajesh Khanna, notableWork, Aradhana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aradhana
Context triple: [Rajesh Khanna, notableWork, Aradhana]
  • A. Aradhana chosen
    Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
  • B. Damini
    Damini is a critically acclaimed 1993 Indian Hindi-language courtroom drama film directed by Rajkumar Santoshi, known for its powerful portrayal of a woman's fight for justice.
  • C. Sadhna
    Sadhna is a 1958 Hindi-language romantic drama film directed by B. R. Chopra, noted for its progressive social themes and acclaimed performances by Vyjayanthimala and Sunil Dutt.
  • D. Nandini
    Nandini is a divine cow in Hindu mythology, famed as a wish-fulfilling offspring of the celestial cow Kamadhenu.
  • E. Anjana
    Anjana is a revered figure in Hindu mythology, best known as the mother of the monkey-god Hanuman and often depicted as a celestial nymph who took birth on earth.
  • 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.