Triple
T1954967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaley Cuoco |
E42244
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cuoco
Cuoco is an Italian surname most prominently associated with American actress Kaley Cuoco, known for her role in the television series "The Big Bang Theory."
|
E218393
|
NE FINISHED |
How this triple was built (4 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: Cuoco | Statement: [Kaley Cuoco, familyName, Cuoco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuoco Context triple: [Kaley Cuoco, familyName, Cuoco]
-
A.
Cook
Cook is a surname shared by various notable individuals, including members of singer-songwriter Alicia Keys' family.
-
B.
José Pancetti
José Pancetti was a prominent Brazilian modernist painter best known for his seascapes and contributions to 20th-century Brazilian art.
-
C.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
D.
Cosmo Cosmolino
Cosmo Cosmolino is a novel by Australian writer Helen Garner that blends gritty realism with elements of the supernatural to explore the lives and relationships of a group of inner-city Melbourne characters.
-
E.
Alfredo
Alfredo is a masculine given name, commonly used in Italian, Spanish, and Portuguese-speaking countries, derived from the name Alfred.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cuoco Triple: [Kaley Cuoco, familyName, Cuoco]
Generated description
Cuoco is an Italian surname most prominently associated with American actress Kaley Cuoco, known for her role in the television series "The Big Bang Theory."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cuoco Target entity description: Cuoco is an Italian surname most prominently associated with American actress Kaley Cuoco, known for her role in the television series "The Big Bang Theory."
-
A.
Cook
Cook is a surname shared by various notable individuals, including members of singer-songwriter Alicia Keys' family.
-
B.
José Pancetti
José Pancetti was a prominent Brazilian modernist painter best known for his seascapes and contributions to 20th-century Brazilian art.
-
C.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
D.
Cosmo Cosmolino
Cosmo Cosmolino is a novel by Australian writer Helen Garner that blends gritty realism with elements of the supernatural to explore the lives and relationships of a group of inner-city Melbourne characters.
-
E.
Alfredo
Alfredo is a masculine given name, commonly used in Italian, Spanish, and Portuguese-speaking countries, derived from the name Alfred.
- F. None of above. chosen
Provenance (5 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb353aa8c81909810347f9981a02f |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbc8146c819084d3dc3b16efb123 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc6bd8e08190a065a89ab3412126 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfcee414c8190b1a0574f6bd55602 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:36 p.m.