Triple
T18621499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanna Mezzogiorno |
E455159
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Giulia in The Last Kiss |
—
|
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: Giulia in The Last Kiss | Statement: [Giovanna Mezzogiorno, notableRole, Giulia in The Last Kiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giulia in The Last Kiss Context triple: [Giovanna Mezzogiorno, notableRole, Giulia in The Last Kiss]
-
A.
Giulia
chosen
Giulia is the Italian form of the given name Julia, commonly used for women in Italy and other Italian-speaking communities.
-
B.
Giulia
Giulia is Alfa Romeo’s compact luxury sports sedan renowned for its sharp handling, Italian styling, and high-performance variants like the Quadrifoglio.
-
C.
Giuliana
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
-
D.
Julias
Julias was a city in the ancient region of Gaulonitis, near the Sea of Galilee, known from the Roman and New Testament historical context.
-
E.
Julianna
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f0146f48190a872032db6e660c6 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.