Triple
T13063922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas M. Donofrio |
E329269
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Donofrio
Donofrio is an Italian-origin surname borne by various notable individuals in fields such as business, sports, and the arts.
|
E1019015
|
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: Donofrio | Statement: [Nicholas M. Donofrio, familyName, Donofrio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donofrio Context triple: [Nicholas M. Donofrio, familyName, Donofrio]
-
A.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
B.
Garofalo
Garofalo is a surname most prominently associated with American comedian, actress, and political activist Janeane Garofalo.
-
C.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
-
D.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
E.
Moltisanti
Moltisanti is the surname of Christopher Moltisanti, a key fictional mob associate and aspiring screenwriter in the television series "The Sopranos."
- 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: Donofrio Triple: [Nicholas M. Donofrio, familyName, Donofrio]
Generated description
Donofrio is an Italian-origin surname borne by various notable individuals in fields such as business, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donofrio Target entity description: Donofrio is an Italian-origin surname borne by various notable individuals in fields such as business, sports, and the arts.
-
A.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
B.
Garofalo
Garofalo is a surname most prominently associated with American comedian, actress, and political activist Janeane Garofalo.
-
C.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
-
D.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
E.
Moltisanti
Moltisanti is the surname of Christopher Moltisanti, a key fictional mob associate and aspiring screenwriter in the television series "The Sopranos."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e9bdfc81908eb90fb50597df64 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6d039254881909927b58225f194de |
completed | May 3, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d0d218d4819080273a151a0890d3 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 9, 2026, 8:59 p.m.