Triple

T10015352
Position Surface form Disambiguated ID Type / Status
Subject Ben Esler E199477 entity
Predicate gender 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: [Ben Esler, gender, male]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69ca8315a1a08190ab310f25620f362b elicitation completed
NER batch_69cdcd4ad3348190bae03cd37c787674 ner completed
Created at: March 30, 2026, 8:52 p.m.