Triple
T22366067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayesha Curry |
E552907
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ayesha Curry |
—
|
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: Ayesha Curry | Statement: [Ayesha Curry, name, Ayesha Curry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayesha Curry Context triple: [Ayesha Curry, name, Ayesha Curry]
-
A.
Ayesha Curry
chosen
Ayesha Curry is a Canadian-American cookbook author, television personality, and entrepreneur known for her culinary brand and marriage to NBA star Stephen Curry.
-
B.
Ashley Curry
Ashley Curry is an American local government official serving as the mayor of Vestavia Hills, Alabama.
-
C.
Ann Curry
Ann Curry is an American journalist and television personality best known for her long tenure as a news anchor and correspondent on NBC’s Today show and Dateline NBC.
-
D.
Sarah Burrell
Sarah Burrell is one of the children of American rapper and entertainer MC Hammer.
-
E.
Melanie Curry
Melanie Curry is an individual notable enough to be recognized as a bearer of the Curry surname, though specific widely known public details about her are not clearly established.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580074dc819091305ac7017000d3 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.