Triple

T30536975
Position Surface form Disambiguated ID Type / Status
Subject Marion duPont Scott E777173 entity
Predicate philanthropySector P9241 FINISHED
Object equestrian causes 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: equestrian causes | Statement: [Marion duPont Scott, philanthropySector, equestrian causes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: philanthropySector
Context triple: [Marion duPont Scott, philanthropySector, equestrian causes]
  • A. fieldOfPhilanthropy chosen
    Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
  • B. genreOfPhilanthropy
    Indicates the specific type or category of philanthropic activity to which an act, initiative, or organization belongs.
  • C. regionOfPhilanthropy
    Indicates the geographic area or location where philanthropic activities, donations, or charitable efforts are directed or take place.
  • D. nonProfitSector
    Indicates that an entity operates within or is associated with the nonprofit sector, typically focusing on mission-driven rather than profit-driven activities.
  • E. 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.
  • 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_69f2249d183c8190b79937c1768d2163 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68850f3088190b84f1b63101d47e9 completed May 2, 2026, 11:27 p.m.
PD Predicate disambiguation batch_69f67e42d6688190b60e91d2c388c555 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:19 p.m.