Triple
T6084304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veltro |
E135598
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Mario Castoldi |
E156002
|
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: Mario Castoldi | Statement: [Veltro, designer, Mario Castoldi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Castoldi Context triple: [Veltro, designer, Mario Castoldi]
-
A.
Mario Castoldi
chosen
Mario Castoldi was an Italian aeronautical engineer best known for designing high-performance fighter aircraft for the Macchi company during the World War II era.
-
B.
Mario Tosi
Mario Tosi is an Italian-born cinematographer known for his work on several notable American films in the 1970s and 1980s.
-
C.
Mario Girotti
Mario Girotti is the birth name of Italian actor Terence Hill, famed for his spaghetti westerns and action-comedy films, often alongside Bud Spencer.
-
D.
Carlo Rossi
Carlo Rossi was a prominent 19th-century Italian-born Russian architect best known for shaping the neoclassical cityscape of Saint Petersburg.
-
E.
Paolo Caccia Dominioni
Paolo Caccia Dominioni was an Italian army officer, engineer, and writer best known for his postwar work identifying the fallen and designing the memorial complex at El Alamein.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057877b448190aa12d2484102eeaa |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7005e8c2c81909729f7ab3ae0287d |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 22, 2026, 4:12 p.m.