Triple
T13700856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La cena di Natale |
E328511
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Mimmo Mancini
Mimmo Mancini is an Italian actor known for his work in film, television, and theater.
|
E1061623
|
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: Mimmo Mancini | Statement: [La cena di Natale, hasCastMember, Mimmo Mancini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimmo Mancini Context triple: [La cena di Natale, hasCastMember, Mimmo Mancini]
-
A.
Enrico Nicola Mancini
Enrico Nicola Mancini, better known as Henry Mancini, was an American composer, conductor, and arranger renowned for his iconic film and television scores such as "The Pink Panther" and "Moon River."
-
B.
Massimo Marchetti
Massimo Marchetti is an individual notable enough to be recognized as a prominent bearer of the Italian surname Marchetti.
-
C.
Gianni Marchetti
Gianni Marchetti was an Italian composer best known for his film scores, particularly in the 1960s and 1970s.
-
D.
Giogiò Franchini
Giogiò Franchini is an Italian film editor known for his work on popular contemporary Italian movies, including the adaptation of "Tre metri sopra il cielo."
-
E.
Mario Berti
Mario Berti was an Italian general best known for leading Italian forces in North Africa during the early stages of World War II.
- 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: Mimmo Mancini Triple: [La cena di Natale, hasCastMember, Mimmo Mancini]
Generated description
Mimmo Mancini is an Italian actor known for his work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mimmo Mancini Target entity description: Mimmo Mancini is an Italian actor known for his work in film, television, and theater.
-
A.
Enrico Nicola Mancini
Enrico Nicola Mancini, better known as Henry Mancini, was an American composer, conductor, and arranger renowned for his iconic film and television scores such as "The Pink Panther" and "Moon River."
-
B.
Massimo Marchetti
Massimo Marchetti is an individual notable enough to be recognized as a prominent bearer of the Italian surname Marchetti.
-
C.
Gianni Marchetti
Gianni Marchetti was an Italian composer best known for his film scores, particularly in the 1960s and 1970s.
-
D.
Giogiò Franchini
Giogiò Franchini is an Italian film editor known for his work on popular contemporary Italian movies, including the adaptation of "Tre metri sopra il cielo."
-
E.
Mario Berti
Mario Berti was an Italian general best known for leading Italian forces in North Africa during the early stages of World War II.
- 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.