Triple
T13700852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La cena di Natale |
E328511
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Luca Riemma
Luca Riemma is an Italian actor known for his roles in contemporary Italian cinema, including the holiday-themed film "La cena di Natale."
|
E1102368
|
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: Luca Riemma | Statement: [La cena di Natale, hasCastMember, Luca Riemma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Riemma Context triple: [La cena di Natale, hasCastMember, Luca Riemma]
-
A.
Luca Marinelli
Luca Marinelli is an acclaimed Italian actor known for his versatile performances in European cinema and international films such as "The Old Guard."
-
B.
Luca Ferraro
Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
C.
Luca Dotti
Luca Dotti is an Italian author and graphic designer best known as the younger son of iconic actress Audrey Hepburn and Italian psychiatrist Andrea Dotti.
-
D.
Luca Villani
Luca Villani is an individual notable enough to be recognized as a bearer of the surname Villani, though specific widely known public details about him are not clearly established.
-
E.
Luca Avagliano
Luca Avagliano is an Italian actor known for his role in the film "La cena di Natale."
- 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: Luca Riemma Triple: [La cena di Natale, hasCastMember, Luca Riemma]
Generated description
Luca Riemma is an Italian actor known for his roles in contemporary Italian cinema, including the holiday-themed film "La cena di Natale."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luca Riemma Target entity description: Luca Riemma is an Italian actor known for his roles in contemporary Italian cinema, including the holiday-themed film "La cena di Natale."
-
A.
Luca Marinelli
Luca Marinelli is an acclaimed Italian actor known for his versatile performances in European cinema and international films such as "The Old Guard."
-
B.
Luca Ferraro
Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
C.
Luca Dotti
Luca Dotti is an Italian author and graphic designer best known as the younger son of iconic actress Audrey Hepburn and Italian psychiatrist Andrea Dotti.
-
D.
Luca Villani
Luca Villani is an individual notable enough to be recognized as a bearer of the surname Villani, though specific widely known public details about him are not clearly established.
-
E.
Luca Avagliano
chosen
Luca Avagliano is an Italian actor known for his role in the film "La cena di Natale."
- F. None of above.
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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8a9c41908190b789765861bd9924 |
completed | May 8, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_69fd8bd70488819083f40c38575f3071 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d4f2e848190a3c4c423c0ffed50 |
completed | May 8, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:54 p.m.