Triple

T4969079
Position Surface form Disambiguated ID Type / Status
Subject Schwarzman Scholars program E111599 entity
Predicate targetApplicants P9658 FINISHED
Object early- to mid-career leaders 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: early- to mid-career leaders | Statement: [Schwarzman Scholars program, targetApplicants, early- to mid-career leaders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetApplicants
Context triple: [Schwarzman Scholars program, targetApplicants, early- to mid-career leaders]
  • A. targetCandidate
    Indicates that an entity is being considered or designated as a potential target for selection, action, or further evaluation.
  • B. eligibleAppointees
    Indicates that certain individuals or entities meet the required criteria to be considered for a particular appointment or position.
  • C. applicantType chosen
    Indicates the classification or category of an applicant in relation to an application or selection process.
  • D. targetOfficeSought
    Indicates the specific public or organizational office or position that an individual is seeking or running for.
  • E. targetWork
    Indicates that one entity is the specific work (e.g., document, artwork, or project) that another entity is directed at, refers to, or is primarily concerned with.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd72e49b048190bac55d9e7a6f7963 completed March 20, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69bd71447fe88190bb62c5e8753da7a7 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:32 p.m.