Triple

T13581180
Position Surface form Disambiguated ID Type / Status
Subject Goodbye Christopher Robin E324419 entity
Predicate editor P1954 FINISHED
Object Victoria Boydell E1003191 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: Victoria Boydell | Statement: [Goodbye Christopher Robin, editor, Victoria Boydell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Boydell
Context triple: [Goodbye Christopher Robin, editor, Victoria Boydell]
  • A. Victoria Boydell chosen
    Victoria Boydell is a film editor known for her work on feature films including *The Second Best Exotic Marigold Hotel*.
  • B. Louise Boyd
    Louise Boyd was an American Arctic explorer, photographer, and philanthropist known for leading several expeditions to Greenland in the early 20th century.
  • C. Catherine Boyd
    Catherine Boyd was the first wife of American actor Christopher Lloyd, known primarily in relation to their early marriage before his rise to widespread fame.
  • D. Bronwen Maddox
    Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
  • E. Rosalind Shand
    Rosalind Shand was a British aristocrat best known as the mother of Queen Camilla, the Queen Consort of the United Kingdom.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb031e8048190a5f2ea934308036c completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbf946c8190ba3d2b87cb11dc9d completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.