Triple
T9102567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaley Cuoco |
E218393
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ryan Sweeting |
E222467
|
NE FINISHED |
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: Ryan Sweeting | Statement: [Kaley Cuoco, spouse, Ryan Sweeting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Sweeting Context triple: [Kaley Cuoco, spouse, Ryan Sweeting]
-
A.
Ryan Sweeting
chosen
Ryan Sweeting is a former Bahamian-born professional tennis player who gained additional public attention through his marriage to actress Kaley Cuoco.
-
B.
Robbie Merrill
Robbie Merrill is an American bassist best known as a founding member of the hard rock band Godsmack.
-
C.
Ryan Merriman
Ryan Merriman is an American actor best known for his roles in films like "Final Destination 3" and several Disney Channel movies, as well as television series such as "Pretty Little Liars."
-
D.
Jody Egginton
Jody Egginton is a British motorsport engineer best known for serving as technical director of the Formula One team Scuderia AlphaTauri.
-
E.
Nick Swinmurn
Nick Swinmurn is an American entrepreneur best known for creating the online shoe and clothing retailer Zappos, which became a pioneering force in e-commerce and customer service.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9715d5188190bce68d095e10c2eb |
completed | April 1, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030201a048190a3a1166d23c5ae67 |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:15 p.m.