Triple

T36729305
Position Surface form Disambiguated ID Type / Status
Subject Françoise Brochard-Wyart E907284 entity
Predicate hasAcademicSpecialization P466 FINISHED
Object thin liquid 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: thin liquid films | Statement: [Françoise Brochard-Wyart, hasAcademicSpecialization, thin liquid films]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69f76e746e4c8190a0d05cc6d57a643e elicitation completed
NER batch_69f7c8a250f08190a8842bc73cff8962 ner completed
Created at: May 3, 2026, 4:12 p.m.