Triple
T13871067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Cousin Vinny |
E333449
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mona Lisa Vito
Mona Lisa Vito is a sharp-witted, knowledgeable auto mechanic and the fiancée of novice lawyer Vinny Gambini in the comedy film "My Cousin Vinny."
|
E1065412
|
NE FINISHED |
How this triple was built (4 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: Mona Lisa Vito | Statement: [My Cousin Vinny, mainCharacter, Mona Lisa Vito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Lisa Vito Context triple: [My Cousin Vinny, mainCharacter, Mona Lisa Vito]
-
A.
Lorenzo
Lorenzo is a small town located in Crosby County in the U.S. state of Texas.
-
B.
Lorenzo
Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
-
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.
Leonardo Vetra
Leonardo Vetra is a fictional CERN physicist and priest in Dan Brown's novel "Angels & Demons," known for his groundbreaking antimatter research and as the adoptive father of Vittoria Vetra.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mona Lisa Vito Triple: [My Cousin Vinny, mainCharacter, Mona Lisa Vito]
Generated description
Mona Lisa Vito is a sharp-witted, knowledgeable auto mechanic and the fiancée of novice lawyer Vinny Gambini in the comedy film "My Cousin Vinny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mona Lisa Vito Target entity description: Mona Lisa Vito is a sharp-witted, knowledgeable auto mechanic and the fiancée of novice lawyer Vinny Gambini in the comedy film "My Cousin Vinny."
-
A.
Lorenzo
Lorenzo is a small town located in Crosby County in the U.S. state of Texas.
-
B.
Lorenzo
Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
-
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.
Leonardo Vetra
Leonardo Vetra is a fictional CERN physicist and priest in Dan Brown's novel "Angels & Demons," known for his groundbreaking antimatter research and as the adoptive father of Vittoria Vetra.
-
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. chosen
Provenance (5 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c20da9448190b3167b091bd39b94 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c2cc63148190b9ca2828abe54286 |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:14 p.m.