Triple
T13700906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La scuola cattolica |
E328513
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Luca Infascelli
Luca Infascelli is an Italian screenwriter known for his work on contemporary Italian cinema, including the film "La scuola cattolica."
|
E1113096
|
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 Infascelli | Statement: [La scuola cattolica, screenwriter, Luca Infascelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Infascelli Context triple: [La scuola cattolica, screenwriter, Luca Infascelli]
-
A.
Luca Ferraro
Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
B.
Luca Trezza
Luca Trezza is an Italian actor known for his role in the film "La cena di Natale."
-
C.
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.
-
D.
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."
-
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 Infascelli Triple: [La scuola cattolica, screenwriter, Luca Infascelli]
Generated description
Luca Infascelli is an Italian screenwriter known for his work on contemporary Italian cinema, including the film "La scuola cattolica."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luca Infascelli Target entity description: Luca Infascelli is an Italian screenwriter known for his work on contemporary Italian cinema, including the film "La scuola cattolica."
-
A.
Luca Ferraro
Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
B.
Luca Trezza
Luca Trezza is an Italian actor known for his role in the film "La cena di Natale."
-
C.
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.
-
D.
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."
-
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
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_69fde15abe6c8190a6212861bbce790e |
completed | May 8, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69fde41944f4819099f41860272bca49 |
completed | May 8, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde4981c98819092e30a61892a6e78 |
completed | May 8, 2026, 1:26 p.m. |
Created at: April 9, 2026, 9:54 p.m.