Triple

T22403297
Position Surface form Disambiguated ID Type / Status
Subject James Fox E553815 entity
Predicate relative P37 FINISHED
Object Freddie Fox 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: Freddie Fox | Statement: [James Fox, relative, Freddie Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freddie Fox
Context triple: [James Fox, relative, Freddie Fox]
  • A. Freddie Fox chosen
    Freddie Fox is an English actor known for his work in film, television, and theatre, and as a member of the prominent Fox acting family.
  • B. Jonathan Bailey
    Jonathan Bailey is an Anglican clergyman who served as the Bishop of Derby in the Church of England.
  • C. Jonathan Bailey
    Jonathan Bailey is an English actor best known for his roles in the Netflix period drama "Bridgerton" and various acclaimed stage and television productions.
  • D. Alfred Enoch
    Alfred Enoch is a British actor best known for playing Wes Gibbins in the television series "How to Get Away with Murder" and appearing as Dean Thomas in the "Harry Potter" film franchise.
  • E. Toby Regbo
    Toby Regbo is an English actor known for his roles in film and television, including playing the younger version of the protagonist in the science fiction drama "Mr. Nobody."
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b565c48190b0f6c19f17995b40 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.