Triple
T23336931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gianluca Simeone |
E591616
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gianluca |
—
|
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: Gianluca | Statement: [Gianluca Simeone, givenName, Gianluca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gianluca Context triple: [Gianluca Simeone, givenName, Gianluca]
-
A.
Gianluca
chosen
Gianluca is an Italian masculine given name commonly used across Italy and among Italian communities worldwide.
-
B.
Gianluca Di Gennaro
Gianluca Di Gennaro is an Italian actor known for his roles in contemporary Italian cinema and television.
-
C.
Luca Cambiaso
Luca Cambiaso was a prominent 16th-century Italian Mannerist painter from Genoa, known for his dynamic compositions and influential frescoes.
-
D.
Luca Calvani
Luca Calvani is an Italian actor known for his work in film, television, and theater, including roles in international productions.
-
E.
Gianfranco
Gianfranco is an Italian masculine given name commonly associated with notable figures in fashion, sports, and the arts.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1982f8574819090f8b0ba249237a3 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:17 p.m.