Triple
T17855094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pier Luigi Bersani |
E445910
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bersani
Bersani is an Italian surname most prominently associated with Pier Luigi Bersani, a notable Italian politician and former leader of the Democratic Party.
|
E1291949
|
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: Bersani | Statement: [Pier Luigi Bersani, familyName, Bersani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bersani Context triple: [Pier Luigi Bersani, familyName, Bersani]
-
A.
Camilo Haddad
Camilo Haddad is a São Paulo Metro station on Line 15–Silver serving the city’s eastern zone.
-
B.
Fernando Haddad
Fernando Haddad is a Brazilian academic and politician who served as mayor of São Paulo and as Brazil’s minister of education, and was the Workers’ Party candidate in the 2018 presidential election.
-
C.
Pedro Malan
Pedro Malan is a Brazilian economist and former finance minister known for his central role in stabilizing Brazil’s economy during the 1990s.
-
D.
EA Rocha
EA Rocha is a Filipino film producer best known for co-producing the critically acclaimed historical biopic "Heneral Luna."
-
E.
Lula Carvalho
Lula Carvalho is a Brazilian cinematographer known for his work on major studio films such as the 2014 reboot of Teenage Mutant Ninja Turtles.
- 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: Bersani Triple: [Pier Luigi Bersani, familyName, Bersani]
Generated description
Bersani is an Italian surname most prominently associated with Pier Luigi Bersani, a notable Italian politician and former leader of the Democratic Party.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bersani Target entity description: Bersani is an Italian surname most prominently associated with Pier Luigi Bersani, a notable Italian politician and former leader of the Democratic Party.
-
A.
Camilo Haddad
Camilo Haddad is a São Paulo Metro station on Line 15–Silver serving the city’s eastern zone.
-
B.
Fernando Haddad
Fernando Haddad is a Brazilian academic and politician who served as mayor of São Paulo and as Brazil’s minister of education, and was the Workers’ Party candidate in the 2018 presidential election.
-
C.
Pedro Malan
Pedro Malan is a Brazilian economist and former finance minister known for his central role in stabilizing Brazil’s economy during the 1990s.
-
D.
EA Rocha
EA Rocha is a Filipino film producer best known for co-producing the critically acclaimed historical biopic "Heneral Luna."
-
E.
Lula Carvalho
Lula Carvalho is a Brazilian cinematographer known for his work on major studio films such as the 2014 reboot of Teenage Mutant Ninja Turtles.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978af9b0819091780281344f5352 |
completed | April 19, 2026, 8:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c62097c8190a52994d2806cb54a |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030d0529f081908d5fd390af9d6bb7 |
completed | May 12, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030dbb23208190bb73c4f9cee76f73 |
completed | May 12, 2026, 11:23 a.m. |
Created at: April 10, 2026, 10:17 a.m.