Triple

T16974885
Position Surface form Disambiguated ID Type / Status
Subject Prakash Jha E411784 entity
Predicate notableWork P4 FINISHED
Object Pareeksha
Pareeksha is a 2020 Indian drama film directed by Prakash Jha that critiques educational inequality and the class divide in India.
E1243547 NE FINISHED

How this triple was built (4 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, notableWork, Pareeksha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pareeksha
Context triple: [Prakash Jha, notableWork, Pareeksha]
  • A. Agni Pariksha
    Agni Pariksha is a trial by fire in the Hindu epic Ramayana, in which Sita proves her purity and chastity.
  • B. 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.
  • C. E’tesami
    E’tesami is the Persian family name of Parvin E’tesami, one of Iran’s most celebrated 20th-century poets.
  • D. 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.
  • E. Exam
    Exam is a 2009 British psychological thriller film centered on a tense, high-stakes job selection test, produced by Gareth Unwin.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pareeksha
Triple: [Prakash Jha, notableWork, Pareeksha]
Generated description
Pareeksha is a 2020 Indian drama film directed by Prakash Jha that critiques educational inequality and the class divide in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pareeksha
Target entity description: Pareeksha is a 2020 Indian drama film directed by Prakash Jha that critiques educational inequality and the class divide in India.
  • A. Agni Pariksha
    Agni Pariksha is a trial by fire in the Hindu epic Ramayana, in which Sita proves her purity and chastity.
  • B. 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.
  • C. E’tesami
    E’tesami is the Persian family name of Parvin E’tesami, one of Iran’s most celebrated 20th-century poets.
  • D. 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.
  • E. Exam
    Exam is a 2009 British psychological thriller film centered on a tense, high-stakes job selection test, produced by Gareth Unwin.
  • F. None of above. chosen

Provenance (5 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_6a00d4755ffc8190a5c861462e33d526 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d687aed88190915e20e8fa517a2b completed May 10, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_6a00d6ecbf60819095e3f8418a84d485 completed May 10, 2026, 7:05 p.m.
Created at: April 10, 2026, 5:31 a.m.