Triple

T1213896
Position Surface form Disambiguated ID Type / Status
Subject Roy Vagelos E26063 entity
Predicate hasPhilanthropicFocus P9241 FINISHED
Object medical education 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: medical education | Statement: [Roy Vagelos, hasPhilanthropicFocus, medical education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhilanthropicFocus
Context triple: [Roy Vagelos, hasPhilanthropicFocus, medical education]
  • A. fieldOfPhilanthropy chosen
    Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
  • B. philanthropicGoal
    Indicates a relationship where an action, initiative, or entity is directed toward achieving a charitable or socially beneficial objective.
  • C. philanthropicInitiative
    Indicates an action or relationship where an entity undertakes or supports activities intended to promote the welfare of others, typically through charitable or socially beneficial efforts.
  • D. hasCharitableFoundation
    Indicates that an entity maintains or is associated with a charitable foundation, typically for philanthropic or nonprofit activities.
  • E. genreOfPhilanthropy
    Indicates the specific type or category of philanthropic activity to which an act, initiative, or organization belongs.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be024e448190ba263a0cc5cc9cd5 completed March 1, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69a4bb62a7c08190a79dcb6ff72ac99b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:46 p.m.