Triple

T37612144
Position Surface form Disambiguated ID Type / Status
Subject Seidel family (benefactors) E935810 entity
Predicate hasNameDerivedInstitution P24928 FINISHED
Object Seidel School of Education 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: Seidel School of Education | Statement: [Seidel family (benefactors), hasNameDerivedInstitution, Seidel School of Education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameDerivedInstitution
Context triple: [Seidel family (benefactors), hasNameDerivedInstitution, Seidel School of Education]
  • A. hasFormerInstitutionName
    Indicates that an institution was previously known by a different name.
  • B. namedAfterInstitution chosen
    Indicates that one entity has been given a name derived from or in honor of an institution.
  • C. nameOfLegacyInstitution
    Indicates that one entity is the official or recognized name of an institution that existed in the past or in a previous organizational form.
  • D. associatedWithCurrentInstitutionName
    Indicates that an entity has an affiliation or connection with the institution identified by the current institution name.
  • E. hasParentInstitutionRussianName
    Indicates that an institution is associated with a parent institution whose name is specified in Russian.
  • 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_69f76ed0a85481909254a8a89090c826 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffa9677be08190852c8ef6c2545fed completed May 9, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69ffa6570e2c8190a9d7b37f12b91d9a completed May 9, 2026, 9:25 p.m.
Created at: May 3, 2026, 4:18 p.m.