Triple

T23444396
Position Surface form Disambiguated ID Type / Status
Subject Michael Caine as John Tarrant E565493 entity
Predicate characterNationalityInFiction P15237 FINISHED
Object British LITERAL FINISHED

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: British | Statement: [Michael Caine as John Tarrant, characterNationalityInFiction, British]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterNationalityInFiction
Context triple: [Michael Caine as John Tarrant, characterNationalityInFiction, British]
  • A. nationalityOfFictionalSetting
    Indicates that a fictional setting is associated with, or belongs to, a particular nationality or country.
  • B. associatedWithCountryInFiction
    Indicates a fictional relationship in which an entity is linked or connected to a particular country within a fictional context or narrative.
  • C. nationalityInStory chosen
    Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
  • D. countryOfOriginFictional
    Indicates that a fictional work, character, or element originates from or is associated with a particular country within its narrative or setting.
  • E. nationalityInMyth
    Indicates that a mythological figure, character, or entity is associated with a particular nationality or cultural tradition within mythology.
  • F. None of above.

Provenance (3 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
PD Predicate disambiguation batch_69f061f92da081908e7f1d0cd1e9b01c completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 5:51 p.m.