Triple

T8486140
Position Surface form Disambiguated ID Type / Status
Subject Trash E200835 entity
Predicate screenplayBy P15305 FINISHED
Object Richard Curtis E5307 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: Richard Curtis | Statement: [Trash, screenplayBy, Richard Curtis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Curtis
Context triple: [Trash, screenplayBy, Richard Curtis]
  • A. Richard Curtis chosen
    Richard Curtis is a British screenwriter, producer, and director best known for creating and writing popular romantic comedies such as "Four Weddings and a Funeral," "Notting Hill," and "Love Actually."
  • B. Alan Bennett
    Alan Bennett is an acclaimed British playwright, screenwriter, actor, and author known for works such as "The History Boys," "Talking Heads," and "The Madness of King George."
  • C. Stephen Merchant
    Stephen Merchant is an English comedian, writer, director, and actor best known as the co-creator of the acclaimed TV series "The Office" and frequent collaborator of Ricky Gervais.
  • D. Andrew Bennett
    Andrew Bennett is a British Labour politician who served as the Member of Parliament for the Denton and Reddish constituency.
  • E. David Haig
    David Haig is a British actor and playwright known for his work in film, television, and theatre, including roles in comedies and period dramas.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef2fa85ac8190adb7ddeb672bc550 completed April 2, 2026, 10:51 p.m.
Created at: March 30, 2026, 6:12 p.m.