Triple

T12514601
Position Surface form Disambiguated ID Type / Status
Subject paste E299163 entity
Predicate invocationExample P8562 FINISHED
Object paste -d"," file1 file2 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: paste -d"," file1 file2 | Statement: [paste, invocationExample, paste -d"," file1 file2]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d6ada5cdd48190860d9ce30aff69be elicitation completed
NER batch_69d9541e752c8190bf12d2b5a37b53df ner completed
Created at: April 8, 2026, 9:57 p.m.