Triple

T13266103
Position Surface form Disambiguated ID Type / Status
Subject Andrew Bryniarski E315927 entity
Predicate genre P14 FINISHED
Object action film 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: action film | Statement: [Andrew Bryniarski, genre, action film]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d806b1d9ac8190852c5571d5bd5f0f elicitation completed
NER batch_69d9901e44bc8190966f87ae219d6bf4 ner completed
Created at: April 9, 2026, 9:25 p.m.