Triple

T32901217
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Kendal E841614 entity
Predicate occupation P3 FINISHED
Object theatre actor 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: theatre actor | Statement: [Jennifer Kendal, occupation, theatre actor]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69f34946a5208190bbd79f0fec4323bd elicitation completed
NER batch_69f6d078b280819089530504ffd1d763 ner completed
Created at: May 1, 2026, 1:19 a.m.