Triple
T9102529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaley Cuoco |
E218392
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Briana Cuoco |
E729251
|
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: Briana Cuoco | Statement: [Kaley Cuoco, hasSibling, Briana Cuoco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briana Cuoco Context triple: [Kaley Cuoco, hasSibling, Briana Cuoco]
-
A.
Briana Cuoco
chosen
Briana Cuoco is an American actress, singer, and choreographer known for her television appearances and for being the younger sister of actress Kaley Cuoco.
-
B.
Melissa Fumero
Melissa Fumero is an American actress best known for playing Detective Amy Santiago on the television comedy series "Brooklyn Nine-Nine."
-
C.
Anna Chlumsky
Anna Chlumsky is an American actress best known for her childhood role in "My Girl" and her acclaimed performance as Amy Brookheimer on the HBO comedy series "Veep."
-
D.
Jenna Ushkowitz
Jenna Ushkowitz is an American actress and singer best known for playing Tina Cohen-Chang on the television series "Glee."
-
E.
Natalie Desselle
Natalie Desselle was an American actress best known for her comedic roles in film and television, including her memorable performance in the 1997 adaptation of "Cinderella."
- 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_69d0183677cc8190b3140278f4c6de9c |
completed | April 3, 2026, 7:42 p.m. |
Created at: March 30, 2026, 7:15 p.m.