Triple

T16590588
Position Surface form Disambiguated ID Type / Status
Subject Patricia Tuckwell E403073 entity
Predicate name P16 FINISHED
Object Patricia Tuckwell 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: Patricia Tuckwell | Statement: [Patricia Tuckwell, name, Patricia Tuckwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Tuckwell
Context triple: [Patricia Tuckwell, name, Patricia Tuckwell]
  • A. Patricia Tuckwell chosen
    Patricia Tuckwell was an Australian-born violinist and fashion model who became Countess of Harewood through her marriage to George Lascelles, 7th Earl of Harewood.
  • B. Patricia Tate
    Patricia Tate was an American actress and the younger sister of murdered film star Sharon Tate, known for her efforts to preserve her sister’s legacy.
  • C. Patricia Liddell
    Patricia Liddell is the daughter of Australian wireless pioneer and radio engineer Florence Violet McKenzie.
  • D. Patricia Lovell
    Patricia Lovell was an influential Australian film producer best known for championing landmark Australian cinema during the 1970s and 1980s.
  • E. Patricia Birch
    Patricia Birch is an American choreographer and director best known for her work on stage and screen musicals, including the film "Grease" and its sequel.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359a012e081909a0604dde3c04bbb completed April 18, 2026, 10:14 a.m.
Created at: April 10, 2026, 5:16 a.m.