Triple
T21280436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guido De Rosso |
E524506
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
De Rosso
De Rosso is an Italian surname most notably associated with former professional cyclist Guido De Rosso.
|
E1476475
|
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: De Rosso | Statement: [Guido De Rosso, familyName, De Rosso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Rosso Context triple: [Guido De Rosso, familyName, De Rosso]
-
A.
Il Rosso
Il Rosso was the nickname of Rosso Fiorentino, a prominent Italian Mannerist painter known for his expressive, unconventional compositions during the early 16th century.
-
B.
El Rojo
El Rojo is the famous nickname of Argentine football club Club Atlético Independiente, alluding to its traditional red colors and passionate identity.
-
C.
Ritto
Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
-
D.
Rossé
Rossé is a surname of likely French origin that is closely related to or derived from the surname de Ross.
-
E.
La Corsa Rosa
La Corsa Rosa is a nickname commonly used to refer to the Giro d'Italia, one of cycling’s three Grand Tours held annually in Italy.
- 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: De Rosso Triple: [Guido De Rosso, familyName, De Rosso]
Generated description
De Rosso is an Italian surname most notably associated with former professional cyclist Guido De Rosso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Rosso Target entity description: De Rosso is an Italian surname most notably associated with former professional cyclist Guido De Rosso.
-
A.
Il Rosso
Il Rosso was the nickname of Rosso Fiorentino, a prominent Italian Mannerist painter known for his expressive, unconventional compositions during the early 16th century.
-
B.
El Rojo
El Rojo is the famous nickname of Argentine football club Club Atlético Independiente, alluding to its traditional red colors and passionate identity.
-
C.
Ritto
Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
-
D.
Rossé
Rossé is a surname of likely French origin that is closely related to or derived from the surname de Ross.
-
E.
La Corsa Rosa
La Corsa Rosa is a nickname commonly used to refer to the Giro d'Italia, one of cycling’s three Grand Tours held annually in Italy.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d186988190a5b16fcb669ece9f |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09980294548190a099b4d83be09b04 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998c794f08190bbf31ce6df99229d |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0999884e0481909b7ea54cd7ef87b5 |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.