Triple

T28889331
Position Surface form Disambiguated ID Type / Status
Subject Old Rose Dawson Calvert E732652 entity
Predicate formerNationalityInStory P59453 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: [Old Rose Dawson Calvert, formerNationalityInStory, British]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerNationalityInStory
Context triple: [Old Rose Dawson Calvert, formerNationalityInStory, British]
  • A. nationalityInStory
    Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
  • B. hasFormerCountry
    Indicates that an entity was previously part of, or belonged to, a country that no longer exists in its former political form.
  • C. formerCitizenship chosen
    Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
  • D. formerCountryOfOrigin
    Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
  • E. originalNationality
    Indicates the country or nationality an entity initially belonged to or originated from, before any later changes in citizenship or affiliation.
  • 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_69f05b07bdec819080cadfe147aa1f25 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fe189fec148190aeef51b417ba15b0 completed May 8, 2026, 5:08 p.m.
PD Predicate disambiguation batch_69fe17285b0881908de7569d8dbd20bd completed May 8, 2026, 5:02 p.m.
Created at: April 28, 2026, 7:53 a.m.