Triple
T21623634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anoushka Sunak |
E533640
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Anoushka |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
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: Anoushka | Statement: [Anoushka Sunak, givenName, Anoushka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anoushka Context triple: [Anoushka Sunak, givenName, Anoushka]
-
A.
Sharana
Sharana is a small Afghan city that serves as the administrative and economic center of Paktika Province in southeastern Afghanistan.
-
B.
Natacha Atlas
Natacha Atlas is a Belgian-Egyptian singer known for blending Arabic and Western electronic music, particularly through her work with Transglobal Underground and her solo albums.
-
C.
Annushka
Annushka is the affectionate nickname for the Antonov An-2, a rugged Soviet-era single-engine biplane renowned for its versatility and reliability in harsh conditions.
-
D.
Anoushka Ajith
chosen
Anoushka Ajith is the daughter of prominent Indian Tamil film actor Ajith Kumar and his wife Shalini.
-
E.
Dilana
Dilana is a South African-born rock singer and songwriter who gained international recognition as a standout contestant on the reality TV show "Rock Star: Supernova."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef521125f481909ccfc95d884976e2 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.