Triple

T10494891
Position Surface form Disambiguated ID Type / Status
Subject Honey for Tea E247510 entity
Predicate castMember P1668 FINISHED
Object Crispin Bonham-Carter E49598 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: Crispin Bonham-Carter | Statement: [Honey for Tea, castMember, Crispin Bonham-Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crispin Bonham-Carter
Context triple: [Honey for Tea, castMember, Crispin Bonham-Carter]
  • A. Crispin Bonham-Carter chosen
    Crispin Bonham-Carter is a British actor and theatre director best known for playing Mr. Bingley in the 1995 BBC adaptation of "Pride and Prejudice."
  • B. Giles Eyre
    Giles Eyre was an English judge and politician who served as a Justice of the Court of Common Pleas in the late 17th and early 18th centuries.
  • C. William Cornysh
    William Cornysh was an English Renaissance composer and dramatist known for his influential sacred and secular music at the Tudor court.
  • D. Godfrey Bertram
    Godfrey Bertram is a fictional laird of Ellangowan and central figure in Sir Walter Scott’s novel "Guy Mannering," whose misfortunes and family legacy drive much of the plot.
  • E. Jeremy Mortimer
    Jeremy Mortimer is a British radio drama producer and director, known for his work with BBC Radio.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dd040f48190a645ebd131f9205c completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:24 p.m.