Triple

T35803054
Position Surface form Disambiguated ID Type / Status
Subject Dr. Vijay Kapoor E1035028 entity
Predicate medicalPhilosophy P107351 FINISHED
Object treat the patient, not just the disease 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: treat the patient, not just the disease | Statement: [Dr. Vijay Kapoor, medicalPhilosophy, treat the patient, not just the disease]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: medicalPhilosophy
Context triple: [Dr. Vijay Kapoor, medicalPhilosophy, treat the patient, not just the disease]
  • A. medicalField
    Indicates that one entity is a branch or specialty of medicine in which the other entity is practiced, studied, or categorized.
  • B. medicalBackground
    Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
  • C. philosophicalMethod
    Indicates the method, approach, or technique used in conducting philosophical inquiry or reasoning.
  • D. inMedicalArea
    Indicates that one entity is located within, or belongs to, a specific medical or healthcare-related area or domain.
  • E. medicalPractice chosen
    Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
  • 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_69f76e169bd081909f16cd8c9ee7870c completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.