Triple

T23152871
Position Surface form Disambiguated ID Type / Status
Subject Mouth to Mouth E578365 entity
Predicate starring P1507 FINISHED
Object Natasha Wightman 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: Natasha Wightman | Statement: [Mouth to Mouth, starring, Natasha Wightman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natasha Wightman
Context triple: [Mouth to Mouth, starring, Natasha Wightman]
  • A. Natasha Wightman chosen
    Natasha Wightman is a British actress best known for her role in the dystopian political thriller film "V for Vendetta."
  • B. Sylvia Syms
    Sylvia Syms was a distinguished British actress known for her extensive film, television, and stage career spanning over six decades, including prominent roles in classic British cinema.
  • C. Jane Cowl
    Jane Cowl was a prominent American stage and film actress of the early 20th century, renowned for her emotional performances and influential presence on Broadway.
  • D. Diana Dors
    Diana Dors was a British actress and sex symbol of the 1950s and 1960s, known for her glamorous image and roles in film and television.
  • E. Shirley Eaton
    Shirley Eaton is a British actress best known for her iconic role as the gold-painted Bond girl Jill Masterson in the 1964 film "Goldfinger."
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efaa1fc81908fb1987dbf732f46 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.