Triple
T11325400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Giuseppe d'Ambrosio |
E268200
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Luigi
Luigi is a common Italian male given name, famously borne by the green-clad brother of Mario in Nintendo’s video game franchise.
|
E11428
|
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: Luigi | Statement: [Luigi Giuseppe d'Ambrosio, givenName, Luigi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luigi Context triple: [Luigi Giuseppe d'Ambrosio, givenName, Luigi]
-
A.
Luigi
Luigi is the birth name of Hall of Fame basketball coach Geno Auriemma, renowned for leading the University of Connecticut women's team to multiple national championships.
-
B.
Luigi
Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
-
C.
Luigi
Luigi is a small, enthusiastic Italian Fiat 500 who runs a tire shop and provides comic relief in Pixar's Cars franchise.
-
D.
Waluigi
Waluigi is a lanky, mustachioed antagonist from Nintendo’s Mario franchise, often appearing as Wario’s partner in spin-off sports and party games.
-
E.
Mario Pino
Mario Pino is a Chilean archaeologist and geologist best known for his role in uncovering and studying the early human settlement site of Monte Verde in southern Chile.
- 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: Luigi Triple: [Luigi Giuseppe d'Ambrosio, givenName, Luigi]
Generated description
Luigi is a common Italian male given name, famously borne by the green-clad brother of Mario in Nintendo’s video game franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luigi Target entity description: Luigi is a common Italian male given name, famously borne by the green-clad brother of Mario in Nintendo’s video game franchise.
-
A.
Luigi
chosen
Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
-
B.
Luigi
Luigi is the birth name of Hall of Fame basketball coach Geno Auriemma, renowned for leading the University of Connecticut women's team to multiple national championships.
-
C.
Luigi
Luigi is a small, enthusiastic Italian Fiat 500 who runs a tire shop and provides comic relief in Pixar's Cars franchise.
-
D.
Waluigi
Waluigi is a lanky, mustachioed antagonist from Nintendo’s Mario franchise, often appearing as Wario’s partner in spin-off sports and party games.
-
E.
Mario Pino
Mario Pino is a Chilean archaeologist and geologist best known for his role in uncovering and studying the early human settlement site of Monte Verde in southern Chile.
- F. None of above.
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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525fb8d74819089d1505d1f0f116c |
completed | April 19, 2026, 6:59 p.m. |
| NEDg | Description generation | batch_69e52c82b6108190aec9b6e9d726f803 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531c2a4b88190bb1efd57536bae9a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.