Triple

T21866230
Position Surface form Disambiguated ID Type / Status
Subject The Sweet Life E539889 entity
Predicate castMember P1668 FINISHED
Object Yvonne Furneaux 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: Yvonne Furneaux | Statement: [The Sweet Life, castMember, Yvonne Furneaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvonne Furneaux
Context triple: [The Sweet Life, castMember, Yvonne Furneaux]
  • A. Yvonne Furneaux chosen
    Yvonne Furneaux is a French-British actress best known for her roles in European cinema of the 1950s and 1960s, including collaborations with prominent directors such as Federico Fellini and Roman Polanski.
  • B. Yvonne Roberts
    Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
  • C. Yvonne Pawlett
    Yvonne Pawlett is a British musician best known as an early keyboardist for the influential post-punk band The Fall.
  • D. Yvonne Wood
    Yvonne Wood was an American costume designer known for her work on classic Hollywood films of the 1940s and 1950s.
  • E. Yvonne Adair
    Yvonne Adair was an actress known for playing the character Dorothy Shaw, notably in mid-20th-century stage and screen productions.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63f2ec48190956a3e99d8f98b1f completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.