Triple
T3298554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federico Luppi |
E69274
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Luppi
Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
|
E347506
|
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: Luppi | Statement: [Federico Luppi, familyName, Luppi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luppi Context triple: [Federico Luppi, familyName, Luppi]
-
A.
Lobo
Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
-
B.
Pugo
Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
-
C.
Quatchi
Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
-
D.
Luna the Wolf
Luna the Wolf is the costumed wolf mascot representing the athletic teams and school spirit of the University of Nevada, Reno.
-
E.
Ninji
Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
- 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: Luppi Triple: [Federico Luppi, familyName, Luppi]
Generated description
Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luppi Target entity description: Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
-
A.
Lobo
Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
-
B.
Pugo
Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
-
C.
Quatchi
Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
-
D.
Luna the Wolf
Luna the Wolf is the costumed wolf mascot representing the athletic teams and school spirit of the University of Nevada, Reno.
-
E.
Ninji
Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a49b748190b6db99a85c3cb3c5 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d759908190b1f5170930ff03c5 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2f9ec098c8190aaa763d7b9c5cceb |
completed | March 12, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b316408090819090a4792b3d5185f0 |
completed | March 12, 2026, 7:38 p.m. |
Created at: March 8, 2026, 3:10 p.m.