Triple

T32171714
Position Surface form Disambiguated ID Type / Status
Subject Dr. Brick Breeland E821724 entity
Predicate medicalStyle P150732 FINISHED
Object traditional Southern small-town medicine 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: traditional Southern small-town medicine | Statement: [Dr. Brick Breeland, medicalStyle, traditional Southern small-town medicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: medicalStyle
Context triple: [Dr. Brick Breeland, medicalStyle, traditional Southern small-town medicine]
  • A. medicalPractice
    Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
  • B. medicalText
    Indicates that the subject is a piece of text whose content is medical in nature, such as clinical, diagnostic, or health-related information.
  • C. medicalBackground
    Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
  • D. clinicalSetting
    Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
  • E. medicalSystemPracticed chosen
    Indicates that a particular medical system or tradition is practiced, applied, or followed by an entity (such as a person, organization, or region).
  • 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_69f3490699a48190bbef96b198e8fade completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6ba75e89481908163f7c227094a4e completed May 3, 2026, 3:01 a.m.
PD Predicate disambiguation batch_69f6b3aa892481908d29283a074e6722 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:33 a.m.