Triple

T16974913
Position Surface form Disambiguated ID Type / Status
Subject Prakash Jha E411784 entity
Predicate produced P490 FINISHED
Object Pareeksha E1243547 NE FINISHED

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: Pareeksha | Statement: [Prakash Jha, produced, Pareeksha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pareeksha
Context triple: [Prakash Jha, produced, Pareeksha]
  • A. Pareeksha chosen
    Pareeksha is a 2020 Indian drama film directed by Prakash Jha that critiques educational inequality and the class divide in India.
  • B. Agni Pariksha
    Agni Pariksha is a trial by fire in the Hindu epic Ramayana, in which Sita proves her purity and chastity.
  • C. Examen
    Examen is a historical and legal treatise by English lawyer and writer Roger North, known for its detailed reflections on law, politics, and contemporary events in late 17th- and early 18th-century England.
  • D. E’tesami
    E’tesami is the Persian family name of Parvin E’tesami, one of Iran’s most celebrated 20th-century poets.
  • E. Gyan
    Gyan is a Ghanaian surname most prominently associated with Asamoah Gyan, a famous professional footballer and all-time top scorer for the Ghana national team.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18300c8819080c8bf19962754ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.