Triple

T9966597
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Taylor E195697 entity
Predicate sexOrGender P72 FINISHED
Object female 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: female | Statement: [Vanessa Taylor, sexOrGender, female]

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69ca82ebd1288190912f9e4482d1fa35 elicitation completed
NER batch_69cdb71dc50081909329722dc087c9f6 ner completed
Created at: March 30, 2026, 8:47 p.m.