Triple

T10520667
Position Surface form Disambiguated ID Type / Status
Subject Helen Gould E248159 entity
Predicate sexOrGender P72 FINISHED
Object female 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: female | Statement: [Helen Gould, sexOrGender, female]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d381c4aa948190942e1d803143fb0e elicitation completed
NER batch_69d509dec25881909bc748640f26a416 ner completed
Created at: April 6, 2026, 12:28 p.m.