Triple
T3467914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mole Antonelliana |
E73181
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Alessandro Antonelli |
E525173
|
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: Alessandro Antonelli | Statement: [Mole Antonelliana, namedAfter, Alessandro Antonelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alessandro Antonelli Context triple: [Mole Antonelliana, namedAfter, Alessandro Antonelli]
-
A.
Alessandro Antonelli
chosen
Alessandro Antonelli was a 19th-century Italian architect best known for designing Turin’s iconic Mole Antonelliana.
-
B.
Franco Antonicelli
Franco Antonicelli was an Italian intellectual, publisher, and anti-fascist activist known for promoting important 20th-century literature and political thought.
-
C.
Filippo Barigioni
Filippo Barigioni was an Italian Baroque architect and sculptor active in Rome in the early 18th century, known for his work on churches, fountains, and urban spaces.
-
D.
Stefano Arnaldi
Stefano Arnaldi is a composer best known for creating the musical score for the film "Tea with Mussolini."
-
E.
Federico Bruni
Federico Bruni, better known as Fyodor Bruni, was a 19th-century Italian-Russian painter renowned for his large-scale historical and religious works in the academic style.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb11ec5881908347bf92883a25ee |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf88d99da08190996996079b947498 |
completed | March 22, 2026, 6:14 a.m. |
Created at: March 8, 2026, 3:17 p.m.