Triple
T22366111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayesha Curry |
E552907
|
entity |
| Predicate | hasTwitterUsername |
P2943
|
FINISHED |
| Object | ayeshacurry |
—
|
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: ayeshacurry | Statement: [Ayesha Curry, hasTwitterUsername, ayeshacurry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ayeshacurry Context triple: [Ayesha Curry, hasTwitterUsername, ayeshacurry]
-
A.
Tuncurry
Tuncurry is a coastal town in New South Wales, Australia, known for its beaches, lakes, and close connection to the twin town of Forster.
-
B.
Curry
chosen
Curry is a common English-language surname borne by numerous notable individuals across fields such as religion, sports, and entertainment.
-
C.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
D.
Wazwan
Wazwan is a lavish multi-course feast from Kashmir, renowned for its rich meat-based dishes and central role in weddings and special celebrations.
-
E.
Sadya
Sadya is a traditional Kerala feast served on a banana leaf, featuring a wide variety of vegetarian dishes, rice, and accompaniments typically prepared for festivals and special occasions.
- 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.