Triple

T872982
Position Surface form Disambiguated ID Type / Status
Subject Live and Let Die E18854 entity
Predicate filmAdaptationStars P5563 FINISHED
Object Roger Moore E105584 NE FINISHED

How this triple was built (3 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: Roger Moore | Statement: [Live and Let Die, filmAdaptationStars, Roger Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Moore
Context triple: [Live and Let Die, filmAdaptationStars, Roger Moore]
  • A. Roger Moore chosen
    Roger Moore was an English actor best known for playing James Bond in seven films from 1973 to 1985.
  • B. George Lazenby
    George Lazenby is an Australian actor best known for playing James Bond in the 1969 film "On Her Majesty's Secret Service."
  • C. Timothy Dalton
    Timothy Dalton is a British actor best known for portraying James Bond in the films "The Living Daylights" and "Licence to Kill."
  • D. Sean Connery
    Sean Connery was a Scottish actor best known for originating the role of James Bond on film and for his distinguished career in both mainstream and critically acclaimed cinema.
  • E. Pierce Brosnan
    Pierce Brosnan is an Irish actor best known for portraying James Bond in a series of films from the 1990s and early 2000s, as well as for roles in movies like "Mrs. Doubtfire" and "Mamma Mia!".
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmAdaptationStars
Context triple: [Live and Let Die, filmAdaptationStars, Roger Moore]
  • A. starredActor chosen
    Indicates that an actor performed a leading or significant role in a particular production or work.
  • B. notableAdaptation
    Indicates that one work is a significant adaptation or reinterpretation of another work.
  • C. partOfFilmographyOf
    Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
  • D. producedFilm
    Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
  • E. filmDebut
    Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
  • F. None of above.

Provenance (4 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac97d0f88190b67fcb7fc058e4b9 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee0053d88190be8705b42d172ab7 completed March 4, 2026, 8:32 a.m.
PD Predicate disambiguation batch_69a4aa8b9b5c81909ac71904f8b8b5cd completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.