Triple
T21305062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alessandro Antonelli |
E525173
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Antonelli |
—
|
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: Antonelli | Statement: [Alessandro Antonelli, familyName, Antonelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonelli Context triple: [Alessandro Antonelli, familyName, Antonelli]
-
A.
Antonelli
chosen
Antonelli is an Italian surname associated with several notable historical figures, including engineers, architects, and clergy.
-
B.
Giovanni Antonelli
Giovanni Antonelli was an Italian astronomer and Jesuit priest known for his contributions to 19th-century astronomical research and observatory work.
-
C.
Alessandro Antonelli
Alessandro Antonelli was a 19th-century Italian architect best known for designing Turin’s iconic Mole Antonelliana.
-
D.
Altobelli
Altobelli is an Italian surname most notably associated with figures in professional baseball and football, including former MLB manager Joe Altobelli.
-
E.
Bianchini
Bianchini is an Italian surname borne by various notable figures in fields such as science, arts, and sports.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa341908190963c4368708860b8 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:05 p.m.