Triple
T13700854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La cena di Natale |
E328511
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Luca Spagnoli
Luca Spagnoli is an actor known for his role in the Italian film "La cena di Natale."
|
E1061622
|
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 Spagnoli | Statement: [La cena di Natale, hasCastMember, Luca Spagnoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Spagnoli Context triple: [La cena di Natale, hasCastMember, Luca Spagnoli]
-
A.
Gianluca Gregorini
Gianluca Gregorini is the son of American actress and former model Barbara Bach.
-
B.
Valerio Zurlini
Valerio Zurlini was an Italian film director and screenwriter known for his visually poetic, melancholic dramas such as "Girl with a Suitcase" and "The Desert of the Tartars."
-
C.
Niccolò Fabi
Niccolò Fabi is an Italian singer-songwriter known for his introspective lyrics and influential role in contemporary Italian pop and folk music.
-
D.
Luca Calvani
Luca Calvani is an Italian actor known for his work in film, television, and theater, including roles in international productions.
-
E.
Cristian Zorzi
Cristian Zorzi is an Italian former cross-country skier best known for winning Olympic and World Championship medals, particularly as a sprint specialist and key member of Italy’s relay teams in the late 1990s and 2000s.
- 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 Spagnoli Triple: [La cena di Natale, hasCastMember, Luca Spagnoli]
Generated description
Luca Spagnoli is an actor known for his role in the Italian film "La cena di Natale."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luca Spagnoli Target entity description: Luca Spagnoli is an actor known for his role in the Italian film "La cena di Natale."
-
A.
Gianluca Gregorini
Gianluca Gregorini is the son of American actress and former model Barbara Bach.
-
B.
Valerio Zurlini
Valerio Zurlini was an Italian film director and screenwriter known for his visually poetic, melancholic dramas such as "Girl with a Suitcase" and "The Desert of the Tartars."
-
C.
Niccolò Fabi
Niccolò Fabi is an Italian singer-songwriter known for his introspective lyrics and influential role in contemporary Italian pop and folk music.
-
D.
Luca Calvani
Luca Calvani is an Italian actor known for his work in film, television, and theater, including roles in international productions.
-
E.
Cristian Zorzi
Cristian Zorzi is an Italian former cross-country skier best known for winning Olympic and World Championship medals, particularly as a sprint specialist and key member of Italy’s relay teams in the late 1990s and 2000s.
- 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_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_69f7b06554748190bf76e3383413a3c4 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b11b824881909ed068c7d608d956 |
completed | May 3, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 9:54 p.m.