Triple

T2451632
Position Surface form Disambiguated ID Type / Status
Subject David Bamber E53717 entity
Predicate portrayed P1668 FINISHED
Object Mr. Collins E260452 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: Mr. Collins | Statement: [David Bamber, portrayed, Mr. Collins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Collins
Context triple: [David Bamber, portrayed, Mr. Collins]
  • A. Mr. Collins chosen
    Mr. Collins is a pompous, obsequious clergyman and comic figure in Jane Austen's novel "Pride and Prejudice."
  • B. Mr. Bingley
    Mr. Bingley is a wealthy, amiable gentleman and close friend of Mr. Darcy who becomes Jane Bennet’s love interest in Jane Austen’s novel "Pride and Prejudice."
  • C. George Wickham
    George Wickham is a charming but unscrupulous militia officer in Jane Austen's "Pride and Prejudice," known for his deceitful behavior and elopement with Lydia Bennet.
  • D. Fitzwilliam Darcy
    Fitzwilliam Darcy is the proud yet ultimately honorable romantic hero of Jane Austen's novel "Pride and Prejudice," whose evolving relationship with Elizabeth Bennet has made him one of literature's most iconic gentlemen.
  • E. Bingley
    Bingley is a historic market town in West Yorkshire, England, known for its industrial heritage and scenic waterways.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f52524819088b00009c9dd1823 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c544788190bb0e8c5ae4a32ff0 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.