Triple
T14745519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marco Leonardi |
E346458
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Leonardi
Leonardi is an Italian surname borne by various notable individuals in fields such as film, sports, and the arts.
|
E1117216
|
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: Leonardi | Statement: [Marco Leonardi, familyName, Leonardi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonardi Context triple: [Marco Leonardi, familyName, Leonardi]
-
A.
Leonardo
Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
-
B.
Leonardo
Leonardo is the katana-wielding, blue-masked leader of the Teenage Mutant Ninja Turtles in the popular comic, TV, and film franchise.
-
C.
Leonardo
Leonardo is a masculine given name of Italian origin, historically borne by notable figures such as artists, scientists, and mathematicians.
-
D.
Leonardo
"Leonardo" is a historical drama television series that explores the life, genius, and mysteries surrounding Renaissance artist and inventor Leonardo da Vinci.
-
E.
Vinci Da
Vinci Da is a Bengali psychological thriller film directed by Srijit Mukherji, centered on a make-up artist drawn into a series of morally complex crimes.
- 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: Leonardi Triple: [Marco Leonardi, familyName, Leonardi]
Generated description
Leonardi is an Italian surname borne by various notable individuals in fields such as film, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leonardi Target entity description: Leonardi is an Italian surname borne by various notable individuals in fields such as film, sports, and the arts.
-
A.
Leonardo
Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
-
B.
Leonardo
Leonardo is the katana-wielding, blue-masked leader of the Teenage Mutant Ninja Turtles in the popular comic, TV, and film franchise.
-
C.
Leonardo
Leonardo is a masculine given name of Italian origin, historically borne by notable figures such as artists, scientists, and mathematicians.
-
D.
Leonardo
"Leonardo" is a historical drama television series that explores the life, genius, and mysteries surrounding Renaissance artist and inventor Leonardo da Vinci.
-
E.
Vinci Da
Vinci Da is a Bengali psychological thriller film directed by Srijit Mukherji, centered on a make-up artist drawn into a series of morally complex crimes.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9638648190a2a3eb255ec5ae28 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfe5f00b08190ba44acd2eed94333 |
completed | May 8, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff32e0a48190acc14ceccea3df17 |
completed | May 8, 2026, 3:20 p.m. |
Created at: April 10, 2026, 1:30 a.m.