Triple

T8900191
Position Surface form Disambiguated ID Type / Status
Subject Autobiography of Francis Place E211910 entity
Predicate hasBiographicalSubjectOccupation P85131 FINISHED
Object radical reformer 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: radical reformer | Statement: [Autobiography of Francis Place, hasBiographicalSubjectOccupation, radical reformer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBiographicalSubjectOccupation
Context triple: [Autobiography of Francis Place, hasBiographicalSubjectOccupation, radical reformer]
  • A. hasBiographicalTheme
    Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
  • B. authorOccupation
    Indicates the professional role or job that an author holds or is associated with.
  • C. namedPersonOccupation
    Indicates that a person is explicitly identified as having a particular occupation or job role.
  • D. notableOccupationContext
    Indicates that the referenced occupation is notable or significant specifically within the given contextual framework or domain.
  • E. sonOccupation
    Indicates that a specified occupation is the job or professional role held by a person's son.
  • F. None of above. chosen

Provenance (4 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64278b208190afc3dec64ecdb0f5 completed April 1, 2026, 12:17 a.m.
PD Predicate disambiguation batch_69cc5c2bfb38819083d5eb1af8ccf4d6 completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5cffe8ec819084c12770fe0578f2 completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 6:54 p.m.