Triple

T4808868
Position Surface form Disambiguated ID Type / Status
Subject Hugo Drax E107015 entity
Predicate basedInFilm P60251 FINISHED
Object California E26 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: California | Statement: [Hugo Drax, basedInFilm, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: California
Context triple: [Hugo Drax, basedInFilm, California]
  • A. Kalifornia
    Kalifornia is a 1993 neo-noir road thriller film that follows a journalist couple researching serial killers while unknowingly traveling with one.
  • B. California, United States chosen
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • C. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • D. CA
    CA is the commonly used abbreviation for Club Africain, a major Tunisian multi-sport club best known for its football team based in Tunis.
  • E. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • 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: basedInFilm
Context triple: [Hugo Drax, basedInFilm, California]
  • A. includedInFilm
    Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
  • B. 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.
  • C. filmBasedOn
    Indicates that a film is adapted from or derived from the story, characters, or events of another work.
  • D. filmedFrom
    Indicates that one entity serves as the physical or conceptual vantage point or recording source from which another entity (such as a scene, object, or event) is filmed.
  • E. madeFamousByFilm
    Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
  • F. None of above. chosen

Provenance (5 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ff981fc819080d4466c6fe06cf3 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67cb1fe48190821c1daf930a70ff completed March 21, 2026, 9:41 a.m.
PD Predicate disambiguation batch_69bd6c1c43a48190a65e56b1624a2339 completed March 20, 2026, 3:47 p.m.
PDg Predicate description generation batch_69bd6ff731188190a9903602122d4ff9 completed March 20, 2026, 4:04 p.m.
Created at: March 20, 2026, 1:23 p.m.