Triple
T3944648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caetano |
E92116
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Cayetano
Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
|
E402617
|
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: Cayetano | Statement: [Caetano, hasVariant, Cayetano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cayetano Context triple: [Caetano, hasVariant, Cayetano]
-
A.
José Castro
José Castro was a 19th-century Californio military leader and politician who played a prominent role in Mexican-era California before U.S. annexation.
-
B.
Paco Grande
Paco Grande is a Spanish photographer and documentary filmmaker best known for his early marriage to American actress Jessica Lange.
-
C.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
D.
Gerardo
Gerardo is a masculine given name of Germanic origin, commonly used in Spanish and Italian-speaking countries.
-
E.
De La Cruz
De La Cruz is a Hispanic surname commonly found in Spanish-speaking communities and among people of Latin American descent.
- 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: Cayetano Triple: [Caetano, hasVariant, Cayetano]
Generated description
Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cayetano Target entity description: Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
-
A.
José Castro
José Castro was a 19th-century Californio military leader and politician who played a prominent role in Mexican-era California before U.S. annexation.
-
B.
Paco Grande
Paco Grande is a Spanish photographer and documentary filmmaker best known for his early marriage to American actress Jessica Lange.
-
C.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
D.
Gerardo
Gerardo is a masculine given name of Germanic origin, commonly used in Spanish and Italian-speaking countries.
-
E.
De La Cruz
De La Cruz is a Hispanic surname commonly found in Spanish-speaking communities and among people of Latin American descent.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef0d8841081908d2c1de8e5758017 |
completed | March 9, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5339869fc8190aee0805a8e2deac5 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5376d19bc81909dadce4a2efcd331 |
completed | March 14, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b538595d2481908812ab03cdb94659 |
completed | March 14, 2026, 10:28 a.m. |
Created at: March 9, 2026, 3:24 p.m.