Triple

T32555960
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Picture E832096 entity
Predicate hasFormerName P65 FINISHED
Object Best Motion Picture 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: Best Motion Picture | Statement: [Academy Award for Best Picture, hasFormerName, Best Motion Picture]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69f34926b9848190ace47d2dd0a0de7c elicitation completed
NER batch_69f6c5fbbd308190b7af8be4c25e6ff1 ner completed
Created at: May 1, 2026, 1:03 a.m.