Triple

T8449156
Position Surface form Disambiguated ID Type / Status
Subject Lessi E199757 entity
Predicate hasGenderAssociation 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: [Lessi, hasGenderAssociation, male]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69ca83170f9081909cd98f55614c6476 elicitation completed
NER batch_69cbe445b7988190b53ae45070c70d1d ner completed
Created at: March 30, 2026, 6:09 p.m.