Triple
T14142530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massimiliano Allegri |
E350461
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Massimiliano |
E199567
|
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: Massimiliano | Statement: [Massimiliano Allegri, givenName, Massimiliano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massimiliano Context triple: [Massimiliano Allegri, givenName, Massimiliano]
-
A.
Massimiliano
chosen
Massimiliano is the Italian form of the given name Maximilian, commonly used as a male first name in Italy and other Italian-speaking communities.
-
B.
Umberto
Umberto was the given name of Umberto I, the 19th-century King of Italy who reigned from 1878 to 1900.
-
C.
Agostino
Agostino is the Italian form of the given name Augustine, commonly used in Italy and among Italian-speaking communities.
-
D.
Federico
Federico is the Italian and Spanish form of the given name Frederick, commonly used in Romance-language countries.
-
E.
Ettore Baldassarre
Ettore Baldassarre was an Italian general of World War II who served in North Africa, notably commanding armored forces under Erwin Rommel.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de611ed3508190add37baa30d1d134 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf18e3d08190b287e2da192d05eb |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:51 a.m.