Triple

T13220360
Position Surface form Disambiguated ID Type / Status
Subject Fiasco E314735 entity
Predicate hasSubject P450 FINISHED
Object state censorship 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: state censorship | Statement: [Fiasco, hasSubject, state censorship]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d806affc688190a25b6ccc588e9c72 elicitation completed
NER batch_69d98cf581508190883033f0c961736a ner completed
Created at: April 9, 2026, 9:18 p.m.