Triple
T4879891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurizio Pollini |
E109297
|
entity |
| Predicate | givenName |
P17
|
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: [Maurizio Pollini, givenName, Maurizio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurizio Context triple: [Maurizio Pollini, givenName, 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.
Riccardo
Riccardo is an Italian given name, equivalent to Richard in English.
-
D.
Gabriele Capone
Gabriele Capone was an Italian immigrant barber and the father of notorious American gangster Al Capone.
-
E.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dbf37ac819085bb758bc6406271 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec342e4788190ad9bb12e54b6a4ed |
completed | March 21, 2026, 4:11 p.m. |
Created at: March 20, 2026, 1:27 p.m.