Triple

T8445704
Position Surface form Disambiguated ID Type / Status
Subject Catriona E199668 entity
Predicate hasNotableBearer P458 FINISHED
Object Catriona Balfe E149442 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: Catriona Balfe | Statement: [Catriona, hasNotableBearer, Catriona Balfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catriona Balfe
Context triple: [Catriona, hasNotableBearer, Catriona Balfe]
  • A. Caitriona Balfe chosen
    Caitriona Balfe is an Irish actress and former fashion model best known for her lead role as Claire Fraser in the television series "Outlander."
  • B. Rebecca Gleeson
    Rebecca Gleeson is an Australian publicist best known as the wife of actor Eric Bana.
  • C. Frances O'Connor
    Frances O'Connor is an English-Australian actress known for her work in film and television, including prominent roles in dramas and period pieces.
  • D. Tamsin Greig
    Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
  • E. Jessica Brown Findlay
    Jessica Brown Findlay is an English actress best known for her role as Lady Sybil Crawley in the television series "Downton Abbey" and for appearances in films such as "Albatross" and "Winter's Tale."
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea82225148190b9dd190655114c8a completed April 2, 2026, 5:32 p.m.
Created at: March 30, 2026, 6:09 p.m.