Triple

T7219800
Position Surface form Disambiguated ID Type / Status
Subject Life of Lord Randolph Churchill E150226 entity
Predicate workSubjectArea P7040 FINISHED
Object biography 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: biography | Statement: [Life of Lord Randolph Churchill, workSubjectArea, biography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workSubjectArea
Context triple: [Life of Lord Randolph Churchill, workSubjectArea, biography]
  • A. fieldOfWork
    Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
  • B. subjectOfWork chosen
    Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
  • C. regionOfAcademicFocus
    Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
  • D. workSubjectPosition
    Indicates that a work (such as a publication or creative piece) is associated with a subject that occupies a specific position or ordering within a list or sequence of subjects.
  • E. workRelatedTo
    Indicates a relationship where one entity’s work, tasks, or professional activities are connected, associated, or relevant to those of another entity.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b1a7908190bd215ffb84592e32 completed March 27, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69c6e75f84e481909e7866186ae80cff completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:53 p.m.