Triple
T23057132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabrina Ferilli |
E574189
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ferilli
Ferilli is the surname of Italian actress and television personality Sabrina Ferilli, known for her work in film, theater, and TV.
|
E1568368
|
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: Ferilli | Statement: [Sabrina Ferilli, familyName, Ferilli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferilli Context triple: [Sabrina Ferilli, familyName, Ferilli]
-
A.
Landino
Landino is an Italian surname most notably associated with the Renaissance humanist and scholar Cristoforo Landino.
-
B.
Biferno
Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
-
C.
Fertitta
Fertitta is an American family name most prominently associated with billionaire entrepreneurs and casino magnates involved in businesses like Station Casinos and the former ownership of the UFC.
-
D.
Reola
Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
-
E.
Fiorente
Fiorente is an Irish-bred Thoroughbred racehorse best known for winning the 2013 Melbourne Cup in Australia.
- 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: Ferilli Triple: [Sabrina Ferilli, familyName, Ferilli]
Generated description
Ferilli is the surname of Italian actress and television personality Sabrina Ferilli, known for her work in film, theater, and TV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferilli Target entity description: Ferilli is the surname of Italian actress and television personality Sabrina Ferilli, known for her work in film, theater, and TV.
-
A.
Landino
Landino is an Italian surname most notably associated with the Renaissance humanist and scholar Cristoforo Landino.
-
B.
Biferno
Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
-
C.
Fertitta
Fertitta is an American family name most prominently associated with billionaire entrepreneurs and casino magnates involved in businesses like Station Casinos and the former ownership of the UFC.
-
D.
Reola
Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
-
E.
Fiorente
Fiorente is an Irish-bred Thoroughbred racehorse best known for winning the 2013 Melbourne Cup in Australia.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1868099708190b23725dc8a305e09 |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae4657c8190bf4d211e68e8cfa7 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0b8e7ca48190ae8a6a97221cc671 |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0c10edd08190b1a270bff6ca80c2 |
completed | May 19, 2026, 7:06 a.m. |
Created at: April 17, 2026, 3:55 p.m.