Triple
T10338524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vito Corleone |
E243068
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Vito |
E566074
|
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: Vito | Statement: [Vito Corleone, givenName, Vito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vito Context triple: [Vito Corleone, givenName, Vito]
-
A.
Vito
chosen
Vito is a masculine given name of Italian origin, famously borne by mob boss Vito Genovese and the fictional character Vito Corleone.
-
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.
Peppino De Luca
Peppino De Luca was an Italian composer and musician known for his work on film scores, including the soundtrack for the comedy "The Girl with a Pistol."
-
D.
Salvatore
Salvatore is the given name of Salvador Luria, the Nobel Prize–winning Italian-American microbiologist and pioneer of bacterial genetics.
-
E.
Silvio Dante
Silvio Dante is a fictional mobster and consigliere in the television series "The Sopranos," known for his loyalty, sharp suits, and deadpan demeanor.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a470948190959f298dd6110bf3 |
completed | April 7, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e5867188190913cc74bfb87a6b7 |
completed | April 10, 2026, 4:36 a.m. |
Created at: April 6, 2026, 11:54 a.m.