Triple
T21380618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giorgia Whigham |
E527342
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Giorgia |
—
|
NE NERFINISHED |
How this triple was built (2 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 Whigham, givenName, Giorgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giorgia Context triple: [Giorgia Whigham, givenName, Giorgia]
-
A.
Giorgia
chosen
Giorgia is an Italian feminine given name most prominently associated today with Italian Prime Minister Giorgia Meloni.
-
B.
Federica
Federica is an Italian given name most notably borne by Federica Mogherini, a prominent Italian politician and former EU High Representative for Foreign Affairs and Security Policy.
-
C.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
D.
Giorgia Moll
Giorgia Moll is an Italian actress best known internationally for her roles in European art-house cinema of the 1950s and 1960s.
-
E.
Vittoria Michitto
Vittoria Michitto was the wife of Giovanni Leone, the former President of Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.