Triple

T12392683
Position Surface form Disambiguated ID Type / Status
Subject The Fry Chronicles E296035 entity
Predicate notableCharacter P1481 FINISHED
Object Emma Thompson E3055 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: Emma Thompson | Statement: [The Fry Chronicles, notableCharacter, Emma Thompson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Thompson
Context triple: [The Fry Chronicles, notableCharacter, Emma Thompson]
  • A. Emma Thompson chosen
    Emma Thompson is an acclaimed British actress and screenwriter known for her Oscar-winning performances and adaptations in films such as "Howards End" and "Sense and Sensibility."
  • B. Joanna Lumley
    Joanna Lumley is a British actress, presenter, and former model best known for her iconic role as Patsy Stone in the television series "Absolutely Fabulous."
  • C. Dawn French
    Dawn French is a British comedian and actress best known as one half of the comedy duo French and Saunders and for her acclaimed television work in shows such as "The Vicar of Dibley."
  • D. Cheryl Hines
    Cheryl Hines is an American actress and director best known for her role as Larry David’s wife, Cheryl, on the HBO series "Curb Your Enthusiasm."
  • E. Betsy Aidem
    Betsy Aidem is an American actress known for her work in film, television, and theater.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347c239881909a031e9e195080c9 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.