Triple

T10466951
Position Surface form Disambiguated ID Type / Status
Subject Matthew Pinsent E246822 entity
Predicate sexOrGender P72 FINISHED
Object male 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: male | Statement: [Matthew Pinsent, sexOrGender, male]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d381c16c248190a2fe5b471e584e9c elicitation completed
NER batch_69d5092e3230819098ab444f73c9bd40 ner completed
Created at: April 6, 2026, 12:19 p.m.