Triple

T25532231
Position Surface form Disambiguated ID Type / Status
Subject The Little Minister (1921 film) E639949 entity
Predicate hasAdaptationSourceCountry P21186 FINISHED
Object United Kingdom 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: United Kingdom | Statement: [The Little Minister (1921 film), hasAdaptationSourceCountry, United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdaptationSourceCountry
Context triple: [The Little Minister (1921 film), hasAdaptationSourceCountry, United Kingdom]
  • A. televisionAdaptationCountry
    Indicates the country in which a television adaptation of a work was produced or primarily created.
  • B. nationalityInAdaptation
    Indicates that an entity’s nationality, as portrayed in an adaptation, is specified or differs from its original source.
  • C. adaptationCountry chosen
    Indicates the country in which an adaptation (such as a remake, translation, or localized version) of an original work is produced or set.
  • D. displayedInCountry
    Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
  • E. hasAdaptationRoleIn
    Indicates that an entity serves a specific adaptation-related role or function within another entity, process, or context.
  • 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_69e75dbf3f9c8190b3f2a75d1b75d127 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f61f12b0f08190bc4a16907941864c completed May 2, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69f61b37a5648190b10d33ae205ccfee completed May 2, 2026, 3:41 p.m.
Created at: April 21, 2026, 3:15 p.m.