Triple

T929111
Position Surface form Disambiguated ID Type / Status
Subject William Harvey E20050 entity
Predicate methodologicalContribution P1717 FINISHED
Object use of quantitative reasoning in physiology 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: use of quantitative reasoning in physiology | Statement: [William Harvey, methodologicalContribution, use of quantitative reasoning in physiology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: methodologicalContribution
Context triple: [William Harvey, methodologicalContribution, use of quantitative reasoning in physiology]
  • A. disciplinaryMethod
    Indicates a method or approach used to discipline, correct, or control another party’s behavior.
  • B. researchContribution
    Indicates that an entity has produced or participated in creating new knowledge, findings, or innovations within a research context.
  • C. philosophicalMethod
    Indicates the method, approach, or technique used in conducting philosophical inquiry or reasoning.
  • D. researchApproach chosen
    Indicates the methodological strategy or set of methods used to conduct and structure a research activity or investigation.
  • E. scopeOfContribution
    Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34775ac8190aabbd047a36cec6b completed March 1, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69a4b29876348190a29f4ff9878074a5 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.