Triple

T9148446
Position Surface form Disambiguated ID Type / Status
Subject Natalie E219519 entity
Predicate createdBy P806 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: [Natalie, createdBy, Richard Curtis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Curtis
Context triple: [Natalie, createdBy, 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca91a1fd08190a5bb3d9280439b09 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04833858081909b616325f0e6f787 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.