Triple
T13700793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’uomo che ama |
E328510
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Fabio Troiano
Fabio Troiano is an Italian actor known for his work in film, television, and theater.
|
E1086231
|
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: Fabio Troiano | Statement: [L’uomo che ama, castMember, Fabio Troiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabio Troiano Context triple: [L’uomo che ama, castMember, Fabio Troiano]
-
A.
Bruno Ferraro
Bruno Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
B.
Antonio Rossi
Antonio Rossi is an Italian sprint canoer and multiple Olympic gold medalist renowned for his success in the 1990s and early 2000s.
-
C.
Roberto Marino
Roberto Marino is a Brazilian former racing driver who competed in international motorsport, including Formula 3000, during the 1980s.
-
D.
Patrizio Marone
Patrizio Marone is an Italian film editor known for his work on contemporary Italian cinema, including the film "Mine vaganti."
-
E.
Andrea Di Stefano
Andrea Di Stefano is an Italian actor and filmmaker known for his roles in international cinema and for directing films such as "Escobar: Paradise Lost."
- 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: Fabio Troiano Triple: [L’uomo che ama, castMember, Fabio Troiano]
Generated description
Fabio Troiano 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: Fabio Troiano Target entity description: Fabio Troiano is an Italian actor known for his work in film, television, and theater.
-
A.
Bruno Ferraro
Bruno Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
B.
Antonio Rossi
Antonio Rossi is an Italian sprint canoer and multiple Olympic gold medalist renowned for his success in the 1990s and early 2000s.
-
C.
Roberto Marino
Roberto Marino is a Brazilian former racing driver who competed in international motorsport, including Formula 3000, during the 1980s.
-
D.
Patrizio Marone
Patrizio Marone is an Italian film editor known for his work on contemporary Italian cinema, including the film "Mine vaganti."
-
E.
Andrea Di Stefano
Andrea Di Stefano is an Italian actor and filmmaker known for his roles in international cinema and for directing films such as "Escobar: Paradise Lost."
- 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_69fd19259070819089bd3caf66e5af29 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd1ad65b608190b325c82347a3d8b3 |
completed | May 7, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b68e8288190a9e9e3d855ed2719 |
completed | May 7, 2026, 11:08 p.m. |
Created at: April 9, 2026, 9:54 p.m.