Triple
T14079552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falco |
E338828
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Falcone |
E921329
|
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: Falcone | Statement: [Falco, hasVariant, Falcone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falcone Context triple: [Falco, hasVariant, Falcone]
-
A.
Falcone
chosen
Falcone is an Italian surname most famously associated with anti-Mafia judge Giovanni Falcone, a key figure in the fight against organized crime in Italy.
-
B.
Tito Falconi
Tito Falconi was an Italian military aviator who served as a prominent commander in the air force of the Italian Social Republic during World War II.
-
C.
Vito
Vito is a masculine given name of Italian origin, famously borne by mob boss Vito Genovese and the fictional character Vito Corleone.
-
D.
Pierre Falcone
Pierre Falcone is a French businessman best known for his central role in the Angolagate scandal involving illicit arms sales to Angola in the 1990s.
-
E.
Colosimo
Colosimo is an Italian-origin surname most notably associated with early 20th-century Chicago crime boss "Big Jim" Colosimo.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb672c08081908e1ff9030745776a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.