Triple
T13393832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossano Brazzi |
E319646
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Brazzi
Brazzi is an Italian surname most notably associated with actor Rossano Brazzi, known for his roles in mid-20th-century international cinema.
|
E1039499
|
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: Brazzi | Statement: [Rossano Brazzi, familyName, Brazzi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brazzi Context triple: [Rossano Brazzi, familyName, Brazzi]
-
A.
Cerruti
Cerruti is a Spanish-language surname of Italian origin borne by various notable individuals in fields such as politics, sports, and the arts.
-
B.
Benetton Group
Benetton Group is a global Italian fashion brand and retailer known for its colorful knitwear, casual clothing, and provocative social-issue advertising campaigns.
-
C.
Brioni
Brioni is an Italian luxury menswear brand renowned for its high-end tailored suits and sartorial craftsmanship.
-
D.
Canelli
Canelli is a town in Italy’s Piedmont region renowned for its historic wine production and UNESCO-listed underground wine cellars.
-
E.
Castelli
Castelli is the original family surname of the renowned Baroque architect Francesco Borromini.
- 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: Brazzi Triple: [Rossano Brazzi, familyName, Brazzi]
Generated description
Brazzi is an Italian surname most notably associated with actor Rossano Brazzi, known for his roles in mid-20th-century international cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brazzi Target entity description: Brazzi is an Italian surname most notably associated with actor Rossano Brazzi, known for his roles in mid-20th-century international cinema.
-
A.
Cerruti
Cerruti is a Spanish-language surname of Italian origin borne by various notable individuals in fields such as politics, sports, and the arts.
-
B.
Benetton Group
Benetton Group is a global Italian fashion brand and retailer known for its colorful knitwear, casual clothing, and provocative social-issue advertising campaigns.
-
C.
Brioni
Brioni is an Italian luxury menswear brand renowned for its high-end tailored suits and sartorial craftsmanship.
-
D.
Canelli
Canelli is a town in Italy’s Piedmont region renowned for its historic wine production and UNESCO-listed underground wine cellars.
-
E.
Castelli
Castelli is the original family surname of the renowned Baroque architect Francesco Borromini.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306fb8348190a325a07a1ac858fd |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f731c912708190af0249952e8824fb |
completed | May 3, 2026, 11:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f732c14f5c8190afd989200d250783 |
completed | May 3, 2026, 11:34 a.m. |
Created at: April 9, 2026, 9:34 p.m.