Triple

T21181659
Position Surface form Disambiguated ID Type / Status
Subject First Impressions E521964 entity
Predicate featuresCharacter P626 FINISHED
Object George Wickham 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: George Wickham | Statement: [First Impressions, featuresCharacter, George Wickham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Wickham
Context triple: [First Impressions, featuresCharacter, George Wickham]
  • A. George Wickham chosen
    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.
  • B. Baron Bingley
    Baron Bingley is a hereditary title in the Peerage of the United Kingdom historically associated with the Lane-Fox family and the Yorkshire gentry.
  • C. Wickham
    Wickham is a small coastal mining town in Western Australia's Pilbara region, primarily serving as a support hub for nearby iron ore operations.
  • D. Wickham
    Wickham is a historic village in Hampshire, England, known for its large medieval square and traditional English charm.
  • E. Arthur Darcy
    Arthur Darcy was an English nobleman who held the title of Earl of Holderness.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301da0ac8190a965fee7b6d845e7 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.