Triple
T3153361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Canova |
E65927
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Canova |
E96503
|
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: Canova | Statement: [Antonio Canova, familyName, Canova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canova Context triple: [Antonio Canova, familyName, Canova]
-
A.
Canova
chosen
Canova was a renowned Italian Neoclassical sculptor celebrated for his marble masterpieces depicting mythological and historical subjects.
-
B.
Mutina
Mutina was an important ancient Roman city in northern Italy, known today as Modena.
-
C.
Vesali
Vesali was an ancient city that served as a major early capital and cultural center of the Arakan (Rakhine) region in present-day Myanmar.
-
D.
Barberini
Barberini is an influential Italian noble family from Florence and Rome, best known for producing Pope Urban VIII and for its major patronage of Baroque art and architecture.
-
E.
Molteni
Molteni was a prominent Italian professional cycling team best known for being the dominant squad of legendary rider Eddy Merckx during the late 1960s and early 1970s.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5c3d6d481908c296e9e09c07f6f |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250088c48190a226031afda38d87 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.