Triple

T34186388
Position Surface form Disambiguated ID Type / Status
Subject Rudy: My Story E876972 entity
Predicate institutionFeatured P51594 FINISHED
Object University of Notre Dame 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: University of Notre Dame | Statement: [Rudy: My Story, institutionFeatured, University of Notre Dame]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: institutionFeatured
Context triple: [Rudy: My Story, institutionFeatured, University of Notre Dame]
  • A. featuredIn
    Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
  • B. institutionalFeature
    Indicates that something is a characteristic, structure, or property that defines or shapes an institution or institutional arrangement.
  • C. institution
    Indicates that one entity is an organization or establishment (such as a school, bank, or government body) that serves as a structured social or functional institution.
  • D. alsoFeatured
    Indicates that an entity appears in addition to another primary entity within the same context, work, or presentation.
  • E. mainOrganizationFeatured chosen
    Indicates that an organization is the primary or most prominently highlighted entity in a given context or presentation.
  • 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_69f349ae640c8190b9cd220b5368d8b6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f710097c608190b55b8c869bf1a131 completed May 3, 2026, 9:06 a.m.
PD Predicate disambiguation batch_69f70f3c5bfc81908585f52e196dafe5 completed May 3, 2026, 9:02 a.m.
Created at: May 1, 2026, 1:55 a.m.