Triple
T6518965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossi |
E148330
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Roberto Rossi
Roberto Rossi is a relatively common Italian personal name shared by multiple individuals across fields such as sports, politics, and the arts.
|
E751496
|
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: Roberto Rossi | Statement: [Rossi, hasNotableBearer, Roberto Rossi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roberto Rossi Context triple: [Rossi, hasNotableBearer, Roberto Rossi]
-
A.
Luciano Rossi
Luciano Rossi is an Italian actor best known for his character roles in Spaghetti Westerns and crime films of the 1960s and 1970s.
-
B.
Ernesto Rossi
Ernesto Rossi was an Italian anti-fascist activist, journalist, and politician best known for co-authoring the Ventotene Manifesto, a foundational text of European federalism.
-
C.
Luigi Rossi
Luigi Rossi is a notable Italian composer of the early Baroque era, recognized especially for his operas and cantatas.
-
D.
Francesco Rossi
Francesco Rossi is a common Italian personal name shared by multiple individuals across fields such as sports, music, and academia.
-
E.
Roberto Silvi
Roberto Silvi is a film editor known for his work on movies such as the 1972 comedy-drama "Pete 'n' Tillie."
- 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: Roberto Rossi Triple: [Rossi, hasNotableBearer, Roberto Rossi]
Generated description
Roberto Rossi is a relatively common Italian personal name shared by multiple individuals across fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roberto Rossi Target entity description: Roberto Rossi is a relatively common Italian personal name shared by multiple individuals across fields such as sports, politics, and the arts.
-
A.
Luciano Rossi
Luciano Rossi is an Italian actor best known for his character roles in Spaghetti Westerns and crime films of the 1960s and 1970s.
-
B.
Ernesto Rossi
Ernesto Rossi was an Italian anti-fascist activist, journalist, and politician best known for co-authoring the Ventotene Manifesto, a foundational text of European federalism.
-
C.
Luigi Rossi
Luigi Rossi is a notable Italian composer of the early Baroque era, recognized especially for his operas and cantatas.
-
D.
Francesco Rossi
Francesco Rossi is a common Italian personal name shared by multiple individuals across fields such as sports, music, and academia.
-
E.
Roberto Silvi
Roberto Silvi is a film editor known for his work on movies such as the 1972 comedy-drama "Pete 'n' Tillie."
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac11d0e481908103c4b51de9521e |
completed | March 27, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef26fd12c819082f644bc727584ec |
completed | April 2, 2026, 10:49 p.m. |
| NEDg | Description generation | batch_69cef4cbc0788190bf95aa8058a8d895 |
completed | April 2, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef830e4e48190bf337a526cc82119 |
completed | April 2, 2026, 11:13 p.m. |
Created at: March 27, 2026, 1:44 p.m.