Triple

T12436724
Position Surface form Disambiguated ID Type / Status
Subject For Those in Peril E297161 entity
Predicate castMember P1668 FINISHED
Object Kate Dickie E205561 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: Kate Dickie | Statement: [For Those in Peril, castMember, Kate Dickie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Dickie
Context triple: [For Those in Peril, castMember, Kate Dickie]
  • A. Kate Dickie chosen
    Kate Dickie is a Scottish actress known for her intense and often unsettling performances in film and television, including roles in projects like "Red Road," "Game of Thrones," and "The Witch."
  • B. Rachael MacFarlane
    Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
  • C. Suzanne Mackie
    Suzanne Mackie is a British television and film producer known for her work on acclaimed projects such as "The Crown" and other high-profile UK dramas.
  • D. Bridget Christie
    Bridget Christie is a British stand-up comedian, writer, and actress known for her sharp, often feminist-leaning comedy and acclaimed radio and television work.
  • E. Lindsay Duncan
    Lindsay Duncan is a Scottish actress acclaimed for her work on stage, film, and television, known for roles in productions such as "About Time," "Rome," and "Doctor Who."
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556686448190ad408b826ebc01c0 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:55 p.m.