Triple
T2072318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice |
E44841
|
entity |
| Predicate | cognate |
P2527
|
FINISHED |
| Object |
Maurizio
Maurizio is an Italian given name, equivalent to Maurice, commonly used in Italy and among Italian-speaking communities.
|
E233190
|
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: Maurizio | Statement: [Maurice, cognate, Maurizio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurizio Context triple: [Maurice, cognate, Maurizio]
-
A.
Giorgio
Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
-
B.
Gabriele Capone
Gabriele Capone was an Italian immigrant barber and the father of notorious American gangster Al Capone.
-
C.
Ariberto
Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
-
D.
Lorenzo Izzo
Lorenza Izzo is a Chilean actress and model known for her roles in films such as "Knock Knock" and "The Green Inferno" as well as various television projects.
-
E.
Vincenzo
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
- 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: Maurizio Triple: [Maurice, cognate, Maurizio]
Generated description
Maurizio is an Italian given name, equivalent to Maurice, commonly used in Italy and among Italian-speaking communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maurizio Target entity description: Maurizio is an Italian given name, equivalent to Maurice, commonly used in Italy and among Italian-speaking communities.
-
A.
Giorgio
Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
-
B.
Gabriele Capone
Gabriele Capone was an Italian immigrant barber and the father of notorious American gangster Al Capone.
-
C.
Ariberto
Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
-
D.
Lorenzo Izzo
Lorenza Izzo is a Chilean actress and model known for her roles in films such as "Knock Knock" and "The Green Inferno" as well as various television projects.
-
E.
Vincenzo
Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0eaa5081908f6d6ff80f79b1c9 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae30547b288190ab9466686f749768 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30f6b7c4819080cb7cb7adc1f6d3 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31849d7c8190a4e3c90334bf21a5 |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:41 p.m.