Triple

T10704115
Position Surface form Disambiguated ID Type / Status
Subject Kate Croy E252353 entity
Predicate authorLaterNationality P6689 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: [Kate Croy, authorLaterNationality, British]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authorLaterNationality
Context triple: [Kate Croy, authorLaterNationality, British]
  • A. authorNationality chosen
    Indicates the relationship between an author and the country or nationality with which that author is identified.
  • B. creatorNationality
    Indicates that the creator of an entity has a specified national affiliation or citizenship.
  • C. coAuthorNationality
    Indicates that two or more co-authors of a work share the same nationality or have nationalities being related in the context of their co-authorship.
  • D. associatedComposerNationality
    Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
  • E. appearsInWorkByAuthorNationality
    Indicates that an entity appears in a work created by an author of a specified nationality.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fdddf258819097b9fd26d68cd2e4 completed April 9, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69d6dd8ea6408190a800f9cb57372189 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:12 p.m.