Triple
T9585950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauricio |
E231289
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Maurizio |
E233190
|
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: Maurizio | Statement: [Mauricio, hasVariant, Maurizio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurizio Context triple: [Mauricio, hasVariant, Maurizio]
-
A.
Maurizio
chosen
Maurizio is an Italian given name, equivalent to Maurice, commonly used in Italy and among Italian-speaking communities.
-
B.
Giorgio
Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
-
C.
Pierluigi
Pierluigi is the family name of the renowned Renaissance composer Giovanni Pierluigi da Palestrina, a central figure in 16th-century sacred music.
-
D.
Riccardo
Riccardo is an Italian given name, equivalent to Richard in English.
-
E.
Gabriele Capone
Gabriele Capone was an Italian immigrant barber and the father of notorious American gangster Al Capone.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99edc2c08190b67b40f6214d46f1 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17917063c819084521bf2e61aee6b |
completed | April 4, 2026, 8:48 p.m. |
Created at: March 30, 2026, 8:06 p.m.