Triple
T827880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giorgia Meloni |
E17896
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Giorgia
Giorgia is an Italian feminine given name most prominently associated today with Italian Prime Minister Giorgia Meloni.
|
E96448
|
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: Giorgia | Statement: [Giorgia Meloni, givenName, Giorgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giorgia Context triple: [Giorgia Meloni, givenName, Giorgia]
-
A.
Letizia Ramolino
Letizia Ramolino was a Corsican noblewoman best known as the mother of French Emperor Napoleon Bonaparte and a matriarch of the Bonaparte family.
-
B.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
C.
Ludovica
Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
-
D.
Paola Ruffo di Calabria
Paola Ruffo di Calabria is the Italian-born former Queen of the Belgians, wife of King Albert II and mother of King Philippe.
-
E.
Massandra
Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
- 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: Giorgia Triple: [Giorgia Meloni, givenName, Giorgia]
Generated description
Giorgia is an Italian feminine given name most prominently associated today with Italian Prime Minister Giorgia Meloni.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giorgia Target entity description: Giorgia is an Italian feminine given name most prominently associated today with Italian Prime Minister Giorgia Meloni.
-
A.
Letizia Ramolino
Letizia Ramolino was a Corsican noblewoman best known as the mother of French Emperor Napoleon Bonaparte and a matriarch of the Bonaparte family.
-
B.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
C.
Ludovica
Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
-
D.
Paola Ruffo di Calabria
Paola Ruffo di Calabria is the Italian-born former Queen of the Belgians, wife of King Albert II and mother of King Philippe.
-
E.
Massandra
Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab99b1e48190afad1f073348b29a |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d97a3b08190b7a5c635d74bcd47 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a783814b188190b449cd191667f1a1 |
completed | March 4, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7840593988190b6882b456f0eea41 |
completed | March 4, 2026, 12:59 a.m. |
Created at: March 1, 2026, 7:38 p.m.