Triple

T31534350
Position Surface form Disambiguated ID Type / Status
Subject Nadezhda von Meck E804563 entity
Predicate financialSupportToTchaikovsky P33009 FINISHED
Object annual allowance 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: annual allowance | Statement: [Nadezhda von Meck, financialSupportToTchaikovsky, annual allowance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: financialSupportToTchaikovsky
Context triple: [Nadezhda von Meck, financialSupportToTchaikovsky, annual allowance]
  • A. fundedBy
    Indicates that an entity receives financial support or resources from another entity.
  • B. funderOf chosen
    Indicates that one entity provides financial support or funding for another entity, project, or activity.
  • C. hasPartInHisPatronage
    Indicates that one entity is included or involved as a component, beneficiary, or participant within another entity’s sphere of patronage or sponsorship.
  • D. foundedWithSupportFrom
    Indicates that an entity was established or created with assistance, backing, or resources provided by another entity.
  • E. fundFinancedBy
    Indicates that a particular fund receives its financial resources or backing from a specified source or entity.
  • 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_69f348d03ef88190a2b73d7b94b9e02d completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8055f8081908f635fe04654b5fe completed May 3, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:02 p.m.