Triple

T18144808
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Yonge E434357 entity
Predicate notableWork P4 FINISHED
Object The Little Duke NE NERFINISHED

How this triple was built (3 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: The Little Duke | Statement: [Charlotte Yonge, notableWork, The Little Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Little Duke
Context triple: [Charlotte Yonge, notableWork, The Little Duke]
  • A. The Young Duke
    The Young Duke is an early novel by Benjamin Disraeli that satirically portrays aristocratic life and the moral development of a young nobleman in Regency England.
  • B. The Duke's Children
    The Duke's Children is a Victorian novel by Anthony Trollope that concludes his Palliser series, focusing on the personal and political challenges faced by the Duke of Omnium and his adult children.
  • C. The Duchess
    The Duchess is a 2008 historical drama film in which Keira Knightley portrays 18th-century aristocrat Georgiana Cavendish, Duchess of Devonshire.
  • D. The Duchess
    The Duchess is a central character in Bret Harte’s short story “The Outcasts of Poker Flat,” portrayed as a compassionate yet socially marginalized woman whose dignity and kindness emerge under hardship.
  • E. La Petite Reine
    La Petite Reine is a French film production company known for backing a range of popular and critically acclaimed movies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Little Duke
Target entity description: The Little Duke is a historical novel for children by Charlotte Yonge that follows the early life and trials of Richard the Fearless, young Duke of Normandy.
  • A. The Young Duke
    The Young Duke is an early novel by Benjamin Disraeli that satirically portrays aristocratic life and the moral development of a young nobleman in Regency England.
  • B. The Duke's Children
    The Duke's Children is a Victorian novel by Anthony Trollope that concludes his Palliser series, focusing on the personal and political challenges faced by the Duke of Omnium and his adult children.
  • C. The Duchess
    The Duchess is a 2008 historical drama film in which Keira Knightley portrays 18th-century aristocrat Georgiana Cavendish, Duchess of Devonshire.
  • D. The Duchess
    The Duchess is a central character in Bret Harte’s short story “The Outcasts of Poker Flat,” portrayed as a compassionate yet socially marginalized woman whose dignity and kindness emerge under hardship.
  • E. La Petite Reine
    La Petite Reine is a French film production company known for backing a range of popular and critically acclaimed movies.
  • F. None of above. chosen

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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de32d3f88190bd9f406729716407 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.