Triple

T25011053
Position Surface form Disambiguated ID Type / Status
Subject Forest Scene E625985 entity
Predicate subjectMatter P450 FINISHED
Object forest 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: forest | Statement: [Forest Scene, subjectMatter, forest]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69e2ff27755881908490178e83701160 elicitation completed
NER batch_69f44ba10d40819093e1906bd928b3f0 ner completed
Created at: April 18, 2026, 6:05 a.m.