Triple

T19416125
Position Surface form Disambiguated ID Type / Status
Subject The Weak and the Wicked E485719 entity
Predicate stars P1956 FINISHED
Object Diana Dors 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: Diana Dors | Statement: [The Weak and the Wicked, stars, Diana Dors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Dors
Context triple: [The Weak and the Wicked, stars, Diana Dors]
  • A. Diana Dors chosen
    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.
  • 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. Natasha Wightman
    Natasha Wightman is a British actress best known for her role in the dystopian political thriller film "V for Vendetta."
  • D. 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."
  • E. Alexandra Maria Lara
    Alexandra Maria Lara is a Romanian-German actress known for her roles in acclaimed films such as "Downfall," "Control," and "Rush."
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af9c8fc81909860de10b6720207 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.