Triple

T16142593
Position Surface form Disambiguated ID Type / Status
Subject assassination of James A. Garfield E391696 entity
Predicate medicalResponse P71300 FINISHED
Object multiple probing attempts to locate bullet 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: multiple probing attempts to locate bullet | Statement: [assassination of James A. Garfield, medicalResponse, multiple probing attempts to locate bullet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: medicalResponse
Context triple: [assassination of James A. Garfield, medicalResponse, multiple probing attempts to locate bullet]
  • A. medicalBackground
    Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
  • 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. medicalEvent chosen
    Indicates that a specific health-related occurrence or clinical incident has taken place involving one or more entities.
  • D. medicalCar
    Indicates that an entity is a vehicle used for providing medical transport or emergency medical services to another entity.
  • E. healthRationale
    Indicates the reasoning or justification behind an assessment, decision, or action related to health.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9082588190bc7e6ff491f0d94e completed April 17, 2026, 11:46 a.m.
PD Predicate disambiguation batch_69e182885bc08190822ae7e8a4b8ac1f completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.