Triple

T10502539
Position Surface form Disambiguated ID Type / Status
Subject Apple AI/ML organization E247705 entity
Predicate develops P73 FINISHED
Object ML models for Photos features 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: ML models for Photos features | Statement: [Apple AI/ML organization, develops, ML models for Photos features]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d381c4aa948190942e1d803143fb0e elicitation completed
NER batch_69d5099c6a848190bf1d5361e9e61108 ner completed
Created at: April 6, 2026, 12:25 p.m.