Triple

T28405578
Position Surface form Disambiguated ID Type / Status
Subject Hauser family E719516 entity
Predicate majorBeneficiaryInstitution P30617 FINISHED
Object New York University School of Law NE NERFINISHED

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: New York University School of Law | Statement: [Hauser family, majorBeneficiaryInstitution, New York University School of Law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorBeneficiaryInstitution
Context triple: [Hauser family, majorBeneficiaryInstitution, New York University School of Law]
  • A. beneficiaryInstitution chosen
    Indicates that an institution is the recipient or beneficiary of an action, service, or resource.
  • B. beneficiaryInstitutionType
    Indicates the type or category of institution that receives the benefit from the related action or arrangement.
  • C. otherBeneficiary
    Indicates that an entity receives a benefit or advantage from something, in addition to the primary or explicitly named beneficiary.
  • D. beneficiaryCompany
    Indicates that a company is the recipient or beneficiary of an action, service, or arrangement described by the predicate.
  • E. beneficiaryType
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • 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_69eff6f0f37c8190b37bc6fab08a9449 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
Created at: April 28, 2026, 1:23 a.m.