Triple

T38029149
Position Surface form Disambiguated ID Type / Status
Subject Oliver R. Avison E948858 entity
Predicate legacy P267 FINISHED
Object foundation for Yonsei University Health System LITERAL FINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's LITERAL type shown above.

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: foundation for Yonsei University Health System | Statement: [Oliver R. Avison, legacy, foundation for Yonsei University Health System]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69f76efd1bc48190a729097fe5177b61 elicitation completed
NER batch_69fbc99890888190ad8a2f3b8c7adf34 ner completed
Created at: May 3, 2026, 4:20 p.m.