Triple
T8268355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaley Cuoco |
E193356
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Karl Cook |
E323177
|
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: Karl Cook | Statement: [Kaley Cuoco, spouse, Karl Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Cook Context triple: [Kaley Cuoco, spouse, Karl Cook]
-
A.
Karl Cook
chosen
Karl Cook is an American equestrian and businessman known for his competitive show jumping career and his former marriage to actress Kaley Cuoco.
-
B.
Rob Cook
Rob Cook is a renowned computer graphics researcher and Pixar executive known for his pioneering work in rendering and visual effects.
-
C.
Jon Cooksey
Jon Cooksey is a television and film writer best known for co-writing the popular Disney Channel movie "Halloweentown."
-
D.
Karl Brown
Karl Brown was an early American cinematographer and filmmaker known for his pioneering work in the motion picture industry and involvement in establishing professional standards for cinematography.
-
E.
Douglas Cook
Douglas Cook was an American screenwriter best known for co-writing action and thriller films such as "The Rock" and "Double Jeopardy."
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb26dd048190bd7e4de4ae986b32 |
completed | April 2, 2026, 6:53 p.m. |
Created at: March 30, 2026, 5:50 p.m.