Triple

T22292404
Position Surface form Disambiguated ID Type / Status
Subject Katyar Kaljat Ghusali E551029 entity
Predicate screenwriter P2831 FINISHED
Object Prakash Kapadia 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: Prakash Kapadia | Statement: [Katyar Kaljat Ghusali, screenwriter, Prakash Kapadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prakash Kapadia
Context triple: [Katyar Kaljat Ghusali, screenwriter, Prakash Kapadia]
  • A. Prakash Kapadia chosen
    Prakash Kapadia is an Indian screenwriter best known for his acclaimed work on several major Hindi films, particularly in collaboration with director Sanjay Leela Bhansali.
  • B. S. H. Kapadia
    S. H. Kapadia was the 38th Chief Justice of India, known for his integrity and significant contributions to constitutional and economic jurisprudence.
  • C. Vikram Bhatt
    Vikram Bhatt is an Indian filmmaker best known as a director and screenwriter of numerous Hindi horror and thriller films.
  • D. Tigmanshu Dhulia
    Tigmanshu Dhulia is an Indian filmmaker, screenwriter, and actor known for his gritty storytelling in films like "Paan Singh Tomar" and his influential work in Hindi cinema.
  • E. Prakash Jha
    Prakash Jha is an Indian film producer, director, and screenwriter best known for his politically charged and socially relevant Hindi films such as "Gangaajal," "Raajneeti," and "Aarakshan."
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560d1ec48190ab86f158c94b677b completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:41 p.m.