Triple

T5116988
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Buffett E115359 entity
Predicate philanthropicRegion P44009 FINISHED
Object global 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: global | Statement: [Jennifer Buffett, philanthropicRegion, global]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: philanthropicRegion
Context triple: [Jennifer Buffett, philanthropicRegion, global]
  • A. regionOfPhilanthropy chosen
    Indicates the geographic area or location where philanthropic activities, donations, or charitable efforts are directed or take place.
  • B. cityOfPhilanthropy
    Indicates that a city is notably associated with significant philanthropic activity, culture, or institutions.
  • C. philanthropicArm
    Indicates that an entity functions as the charitable or philanthropic division or initiative of another organization, responsible for its giving and social impact activities.
  • D. 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.
  • E. philanthropicBeneficiary
    Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7d5a23908190a24e79d1b29d6fcf completed March 20, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69bd77aa68b88190a50dd736a72d2901 completed March 20, 2026, 4:36 p.m.
Created at: March 20, 2026, 1:41 p.m.