Triple

T37324187
Position Surface form Disambiguated ID Type / Status
Subject Pulitzer Scholarship in Music E926558 entity
Predicate financialSupportType P936 FINISHED
Object tuition support 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: tuition support | Statement: [Pulitzer Scholarship in Music, financialSupportType, tuition support]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: financialSupportType
Context triple: [Pulitzer Scholarship in Music, financialSupportType, tuition support]
  • A. typeOfSupport chosen
    Indicates the kind or category of assistance, help, or backing provided in a given context.
  • B. beneficeType
    Indicates the specific category or kind of benefice (ecclesiastical office or endowed church position) associated with an entity.
  • C. beneficiaryType
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • D. wealthSupported
    Indicates that one entity’s wealth, financial status, or economic position is maintained, upheld, or enabled by another entity.
  • E. welfareSupportFeature
    Indicates that an entity provides, enables, or is associated with some form of welfare-related assistance or 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_69f76eb386d88190a8d511aa11540dfc completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb78cbef988190b8f79d946b46e6b2 completed May 6, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69fb5a9ac5a08190b24ef308963fc52b completed May 6, 2026, 3:13 p.m.
Created at: May 3, 2026, 4:16 p.m.