Triple

T11369410
Position Surface form Disambiguated ID Type / Status
Subject Letitia Cropley E269301 entity
Predicate portrayedBy P1507 FINISHED
Object Liz Smith E191278 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: Liz Smith | Statement: [Letitia Cropley, portrayedBy, Liz Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liz Smith
Context triple: [Letitia Cropley, portrayedBy, Liz Smith]
  • A. Liz Smith chosen
    Liz Smith was a beloved English character actress known for her comic roles in British television and film, including her work on the sitcom "The Vicar of Dibley."
  • B. Susan Durant
    Susan Durant was a prominent 19th-century English sculptor known for her portrait busts and association with notable Victorian figures.
  • C. Tina Brown
    Tina Brown is an American magazine editor, journalist, and author best known for revitalizing publications such as Vanity Fair and The New Yorker.
  • D. Susanna Reid
    Susanna Reid is a British television presenter and journalist best known as a long-time breakfast show host on BBC Breakfast and Good Morning Britain.
  • E. Liz Georges
    Liz Georges is known as the wife of American character actor and director David Paymer.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5567b67f88190b0412e30b346d36d completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.