Triple

T15613393
Position Surface form Disambiguated ID Type / Status
Subject Rafael Pérez E375353 entity
Predicate convictedOf P6201 FINISHED
Object corruption-related offenses 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: corruption-related offenses | Statement: [Rafael Pérez, convictedOf, corruption-related offenses]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d85ccf2794819096cda4cbcb02d478 elicitation completed
NER batch_69e04e83407c8190abbcd4b7fab0ff85 ner completed
Created at: April 10, 2026, 4:13 a.m.