Triple

T28160684
Position Surface form Disambiguated ID Type / Status
Subject Pamela Ziegelman E714883 entity
Predicate genreSpecialization P14 FINISHED
Object animated films 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: animated films | Statement: [Pamela Ziegelman, genreSpecialization, animated films]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69efd6b156448190bfa15958208395c3 elicitation completed
NER batch_69f641eae0dc81909c82bc2119305b03 ner completed
Created at: April 27, 2026, 10:06 p.m.