Triple

T28246084
Position Surface form Disambiguated ID Type / Status
Subject Kenneth Millar E712170 entity
Predicate genre P14 FINISHED
Object crime fiction 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: crime fiction | Statement: [Kenneth Millar, genre, crime fiction]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69efb51fb98881909692421959ec0170 elicitation completed
NER batch_69f643c95d8881908513f34fd6a0216e ner completed
Created at: April 27, 2026, 11:01 p.m.