Triple
T3097320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caterina |
E64628
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Caterinella
Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
|
E328179
|
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: Caterinella | Statement: [Caterina, hasVariant, Caterinella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caterinella Context triple: [Caterina, hasVariant, Caterinella]
-
A.
Primaticcio
Primaticcio was a prominent Italian Mannerist painter, sculptor, and architect active at the French court, known for helping shape the distinctive style of the School of Fontainebleau.
-
B.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
C.
Sarti
Sarti is a coastal village and popular beach resort on the Sithonia peninsula in northern Greece, known for its scenic shoreline and views of Mount Athos.
-
D.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
E.
Graziella
Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
- 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: Caterinella Triple: [Caterina, hasVariant, Caterinella]
Generated description
Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caterinella Target entity description: Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
-
A.
Primaticcio
Primaticcio was a prominent Italian Mannerist painter, sculptor, and architect active at the French court, known for helping shape the distinctive style of the School of Fontainebleau.
-
B.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
C.
Sarti
Sarti is a coastal village and popular beach resort on the Sithonia peninsula in northern Greece, known for its scenic shoreline and views of Mount Athos.
-
D.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
E.
Graziella
Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23cbe3c8190b7ec5cfd464a1ca8 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20378a1488190bd0fa7d3f4639220 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2051868048190b197646d452df8e9 |
completed | March 12, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2094564e881909274bb34be922166 |
completed | March 12, 2026, 12:31 a.m. |
Created at: March 8, 2026, 3:03 p.m.