Triple
T24740130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stéphane Audran |
E618530
|
entity |
| Predicate | awardReceivedForWork |
P107
|
FINISHED |
| Object | BAFTA Award for Best Actress in a Leading Role – Juste avant la nuit / Les Noces rouges (jointly recognized work) |
—
|
NE NERFINISHED |
Named-entity recognition
Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE 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: BAFTA Award for Best Actress in a Leading Role – Juste avant la nuit / Les Noces rouges (jointly recognized work) | Statement: [Stéphane Audran, awardReceivedForWork, BAFTA Award for Best Actress in a Leading Role – Juste avant la nuit / Les Noces rouges (jointly recognized work)]
Provenance (2 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69e2fab8f95c81908bb9e552cf3280c2 |
elicitation | completed |
| NER | batch_69f41055c0e48190b610145ed88c002b |
ner | completed |
Created at: April 18, 2026, 4:04 a.m.