Triple
T11511873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvio Gazzaniga |
E272931
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Bertoni Milano |
E272932
|
NE FINISHED |
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: Bertoni Milano | Statement: [Silvio Gazzaniga, employer, Bertoni Milano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertoni Milano Context triple: [Silvio Gazzaniga, employer, Bertoni Milano]
-
A.
Bertoni
chosen
Bertoni is an Italian trophy and medal manufacturer renowned for crafting the iconic FIFA World Cup Trophy.
-
B.
Bertati
Bertati is an alternative name for Berta, a given name used in various cultures, often as a diminutive or variant of names like Roberta or Alberta.
-
C.
Baldaccini
Baldaccini is the surname of César Baldaccini, a renowned French sculptor associated with the Nouveau Réalisme movement.
-
D.
Bertelli
Bertelli is an Italian surname most notably associated with Patrizio Bertelli, the longtime chief executive and co-owner of the luxury fashion house Prada.
-
E.
Orio Litta
Orio Litta is a small municipality in the Lombardy region of northern Italy, known for its location along the historic Via Francigena pilgrimage route.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db7af688190b68668eb39d382a8 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e625055dfc81909a87418a3ed40027 |
completed | April 20, 2026, 1:07 p.m. |
Created at: April 8, 2026, 9:36 p.m.