Triple
T11980647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marino |
E285147
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object |
Marino (given name)
Marino is an Italian masculine given name, traditionally associated with the Latin word for "of the sea" and borne by various historical and contemporary figures.
|
E958102
|
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: Marino (given name) | Statement: [Marino, derivedFromGivenName, Marino (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marino (given name) Context triple: [Marino, derivedFromGivenName, Marino (given name)]
-
A.
Marino
Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
-
B.
Marino
Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
C.
Marcellino
Marcellino is an Italian given name, typically used as a diminutive or affectionate form of Marcello.
-
D.
Marchiano
Marchiano is the married surname of Linda Lovelace, the famous American pornographic film actress known for her role in "Deep Throat."
-
E.
Patrizio
Patrizio is an Italian given name commonly used for men, notably borne by figures such as fashion executive Patrizio Bertelli.
- 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: Marino (given name) Triple: [Marino, derivedFromGivenName, Marino (given name)]
Generated description
Marino is an Italian masculine given name, traditionally associated with the Latin word for "of the sea" and borne by various historical and contemporary figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marino (given name) Target entity description: Marino is an Italian masculine given name, traditionally associated with the Latin word for "of the sea" and borne by various historical and contemporary figures.
-
A.
Marino
Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
-
B.
Marino
Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
-
C.
Marcellino
Marcellino is an Italian given name, typically used as a diminutive or affectionate form of Marcello.
-
D.
Marchiano
Marchiano is the married surname of Linda Lovelace, the famous American pornographic film actress known for her role in "Deep Throat."
-
E.
Patrizio
Patrizio is an Italian given name commonly used for men, notably borne by figures such as fashion executive Patrizio Bertelli.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90395a8788190bfbb3506c29e3825 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47209bd088190bf4c7687c0a5eed6 |
completed | May 1, 2026, 9:27 a.m. |
| NEDg | Description generation | batch_69f47b7ac4048190ae09f18f1a90338f |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47db91f38819092b7b5c5e2bb489b |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.