Triple
T20580122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanni Moretti |
E505628
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Silvia Nono
Silvia Nono is an Italian figure known primarily as the wife of acclaimed filmmaker and actor Nanni Moretti.
|
E1449049
|
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: Silvia Nono | Statement: [Nanni Moretti, spouse, Silvia Nono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvia Nono Context triple: [Nanni Moretti, spouse, Silvia Nono]
-
A.
Silvia Franceschini
Silvia Franceschini is known primarily as the wife of Italian politician and former Minister of Culture Dario Franceschini.
-
B.
Cristina Nonino
Cristina Nonino is an Italian distiller and entrepreneur, best known for helping modernize and internationally promote her family’s renowned Nonino grappa and spirits brand.
-
C.
Cecilia Frugiuele
Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
-
D.
Rosa Miano
Rosa Miano is known as the spouse of Australian actor and filmmaker John Jarratt.
-
E.
Manuela Di Centa
Manuela Di Centa is a former Italian cross-country skier and multiple Olympic and World Championship medalist who became one of Italy’s most successful winter sports athletes.
- 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: Silvia Nono Triple: [Nanni Moretti, spouse, Silvia Nono]
Generated description
Silvia Nono is an Italian figure known primarily as the wife of acclaimed filmmaker and actor Nanni Moretti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silvia Nono Target entity description: Silvia Nono is an Italian figure known primarily as the wife of acclaimed filmmaker and actor Nanni Moretti.
-
A.
Silvia Franceschini
Silvia Franceschini is known primarily as the wife of Italian politician and former Minister of Culture Dario Franceschini.
-
B.
Cristina Nonino
Cristina Nonino is an Italian distiller and entrepreneur, best known for helping modernize and internationally promote her family’s renowned Nonino grappa and spirits brand.
-
C.
Cecilia Frugiuele
Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
-
D.
Rosa Miano
Rosa Miano is known as the spouse of Australian actor and filmmaker John Jarratt.
-
E.
Manuela Di Centa
Manuela Di Centa is a former Italian cross-country skier and multiple Olympic and World Championship medalist who became one of Italy’s most successful winter sports athletes.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90dd3e881908915debe1f1e8509 |
completed | April 20, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e8262e988190a50fb3bc137669a6 |
completed | May 16, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_6a08e93ff7dc8190b4668b965e90ab10 |
completed | May 16, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ea02a1688190bc7944f67067bcfa |
completed | May 16, 2026, 10:04 p.m. |
Created at: April 16, 2026, 11:39 a.m.