Triple
T9993548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Bressani |
E196945
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bressani
Bressani is an Italian surname most notably associated with the 17th-century Jesuit missionary and historian Giuseppe Bressani.
|
E833654
|
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: Bressani | Statement: [Giuseppe Bressani, familyName, Bressani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bressani Context triple: [Giuseppe Bressani, familyName, Bressani]
-
A.
Barelli
Barelli is an Italian surname associated with figures such as the 17th-century architect Agostino Barelli.
-
B.
Mattioli
Mattioli is an Italian surname historically associated with figures such as the 17th-century statesman Ercole Antonio Mattioli.
-
C.
Beccari
Beccari refers to Odoardo Beccari, an Italian botanist renowned for his pioneering work on tropical plants, including the formal description of the titan arum (Amorphophallus titanum).
-
D.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
E.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
- 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: Bressani Triple: [Giuseppe Bressani, familyName, Bressani]
Generated description
Bressani is an Italian surname most notably associated with the 17th-century Jesuit missionary and historian Giuseppe Bressani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bressani Target entity description: Bressani is an Italian surname most notably associated with the 17th-century Jesuit missionary and historian Giuseppe Bressani.
-
A.
Barelli
Barelli is an Italian surname associated with figures such as the 17th-century architect Agostino Barelli.
-
B.
Mattioli
Mattioli is an Italian surname historically associated with figures such as the 17th-century statesman Ercole Antonio Mattioli.
-
C.
Beccari
Beccari refers to Odoardo Beccari, an Italian botanist renowned for his pioneering work on tropical plants, including the formal description of the titan arum (Amorphophallus titanum).
-
D.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
E.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb982d5c81909779c6e9d780b399 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2582ac03481908e76c10218f419d5 |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d259701e488190b288c9f523a1ec87 |
completed | April 5, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d259da25e081909ac184f4fa80c57e |
completed | April 5, 2026, 12:47 p.m. |
Created at: March 30, 2026, 8:50 p.m.