Triple

T10468607
Position Surface form Disambiguated ID Type / Status
Subject Bride and Prejudice E246867 entity
Predicate screenwriter P2831 FINISHED
Object Gurinder Chadha E865441 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: Gurinder Chadha | Statement: [Bride and Prejudice, screenwriter, Gurinder Chadha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gurinder Chadha
Context triple: [Bride and Prejudice, screenwriter, Gurinder Chadha]
  • A. Gurinder Chadha chosen
    Gurinder Chadha is a British film director and screenwriter known for culturally rich, often comedic dramas exploring the South Asian diaspora, including the hit film "Bend It Like Beckham."
  • B. Deepa Mehta
    Deepa Mehta is an Indo-Canadian filmmaker best known for her socially charged and visually rich films such as the Elements Trilogy (Fire, Earth, and Water).
  • C. Mira Nair
    Mira Nair is an acclaimed Indian-American film director and producer known for socially conscious, character-driven films such as "Salaam Bombay!", "Mississippi Masala," and "Monsoon Wedding."
  • D. Zoya Akhtar
    Zoya Akhtar is an acclaimed Indian film director and screenwriter known for movies like "Zindagi Na Milegi Dobara," "Dil Dhadakne Do," and the series "Made in Heaven."
  • E. Tarsem Singh
    Tarsem Singh is an Indian-American film director and visual stylist known for his strikingly imaginative, visually rich works such as "The Cell," "The Fall," and numerous high-profile music videos and commercials.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc5c26a88190aab4a590c20191a3 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:20 p.m.