Triple

T21330809
Position Surface form Disambiguated ID Type / Status
Subject William Robertson Coe E525891 entity
Predicate philanthropicSector P9241 FINISHED
Object arts 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: arts | Statement: [William Robertson Coe, philanthropicSector, arts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: philanthropicSector
Context triple: [William Robertson Coe, philanthropicSector, arts]
  • A. fieldOfPhilanthropy chosen
    Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
  • B. nonProfitSector
    Indicates that an entity operates within or is associated with the nonprofit sector, typically focusing on mission-driven rather than profit-driven activities.
  • C. genreOfPhilanthropy
    Indicates the specific type or category of philanthropic activity to which an act, initiative, or organization belongs.
  • D. regionOfPhilanthropy
    Indicates the geographic area or location where philanthropic activities, donations, or charitable efforts are directed or take place.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab5177dc8190b888351e9a45b45f completed April 21, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69e6161feea4819091d13bb003363279 completed April 20, 2026, 12:03 p.m.
Created at: April 16, 2026, 4:42 p.m.