Triple

T10823909
Position Surface form Disambiguated ID Type / Status
Subject When Life Gives You Pears: The Healing Power of Family, Faith, and Funny People E255444 entity
Predicate medicalContext P89651 FINISHED
Object treatment of a brain tumor 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: treatment of a brain tumor | Statement: [When Life Gives You Pears: The Healing Power of Family, Faith, and Funny People, medicalContext, treatment of a brain tumor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: medicalContext
Context triple: [When Life Gives You Pears: The Healing Power of Family, Faith, and Funny People, medicalContext, treatment of a brain tumor]
  • A. medicalText chosen
    Indicates that the subject is a piece of text whose content is medical in nature, such as clinical, diagnostic, or health-related information.
  • B. medicalEvent
    Indicates that a specific health-related occurrence or clinical incident has taken place involving one or more entities.
  • C. clinicalSetting
    Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
  • D. clinicalBaseOf
    Indicates that one clinical entity serves as the foundational basis or underlying source for another clinical entity (such as a diagnosis, assessment, or decision).
  • E. medicalCar
    Indicates that an entity is a vehicle used for providing medical transport or emergency medical services to 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734cf7918819094d36ea208c80d12 completed April 9, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69d70d1bf3648190b36fa96ea018e0dc completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:19 p.m.