Triple

T19168727
Position Surface form Disambiguated ID Type / Status
Subject Resurrection (1931 film) E469256 entity
Predicate narrativeSourceCountry P44758 FINISHED
Object Russia NE NERFINISHED

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: Russia | Statement: [Resurrection (1931 film), narrativeSourceCountry, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia
Context triple: [Resurrection (1931 film), narrativeSourceCountry, Russia]
  • A. Russia chosen
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • B. ROSSIYA
    ROSSIYA is the radio callsign used by Rossiya Airlines, a major Russian carrier based in Saint Petersburg.
  • C. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • D. Rusko
    Rusko is a British electronic music producer and DJ known for pioneering the modern dubstep sound.
  • E. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • 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: narrativeSourceCountry
Context triple: [Resurrection (1931 film), narrativeSourceCountry, Russia]
  • A. nationalityInStory
    Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
  • B. narratorNationality
    Indicates that the subject is the country or nationality to which the narrator of a work belongs.
  • C. sourceOfStories chosen
    Indicates that one entity serves as the origin or provider of stories for another entity.
  • D. narrative
    Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
  • E. narratedFrom
    Indicates that an event, story, or account is told or described from the perspective or vantage point of a particular source or narrator.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16132e081908c6b8d576163316e completed April 20, 2026, 9:26 a.m.
PD Predicate disambiguation batch_69e4b9b83d6881908e6271c620f74100 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.