Triple
T21355977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlo Donida |
E526624
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Donida
Donida is an Italian surname most notably associated with composer Carlo Donida, known for his contributions to 20th-century Italian popular music.
|
E1479881
|
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: Donida | Statement: [Carlo Donida, familyName, Donida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donida Context triple: [Carlo Donida, familyName, Donida]
-
A.
Gelon
Gelon was a powerful early 5th-century BC Greek tyrant of Gela and later Syracuse, known for his military leadership against Carthage and for significantly expanding Syracuse’s influence in Sicily.
-
B.
Motta
Motta is an Italian surname borne by various notable figures in sports, politics, and the arts.
-
C.
Finidi
Finidi is a former Nigerian professional footballer best known for his successful career as a winger with clubs like Ajax and Real Betis and for his key role in the Nigerian national team of the 1990s.
-
D.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
E.
Segariu
Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
- 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: Donida Triple: [Carlo Donida, familyName, Donida]
Generated description
Donida is an Italian surname most notably associated with composer Carlo Donida, known for his contributions to 20th-century Italian popular music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donida Target entity description: Donida is an Italian surname most notably associated with composer Carlo Donida, known for his contributions to 20th-century Italian popular music.
-
A.
Gelon
Gelon was a powerful early 5th-century BC Greek tyrant of Gela and later Syracuse, known for his military leadership against Carthage and for significantly expanding Syracuse’s influence in Sicily.
-
B.
Motta
Motta is an Italian surname borne by various notable figures in sports, politics, and the arts.
-
C.
Finidi
Finidi is a former Nigerian professional footballer best known for his successful career as a winger with clubs like Ajax and Real Betis and for his key role in the Nigerian national team of the 1990s.
-
D.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
E.
Segariu
Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9cd4a48190aa6e72c019b60f8c |
completed | April 22, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad6361b881908db56803d3109bf4 |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09adf244d481908bb02f99844f1cd0 |
completed | May 17, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_6a09ae91d9cc8190a677124f1a0e1e4e |
completed | May 17, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:06 p.m.