Triple
T21391971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Ganna |
E527676
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ganna
Ganna is an Italian surname most notably associated with Luigi Ganna, the winner of the first Giro d'Italia.
|
E1482566
|
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: Ganna | Statement: [Luigi Ganna, familyName, Ganna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganna Context triple: [Luigi Ganna, familyName, Ganna]
-
A.
Tatjana
Tatjana is a feminine given name, commonly used in various European countries as a variant of Tatyana.
-
B.
Jolanda
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
-
C.
Katusha Maslova
Katusha Maslova is a central fictional character in Leo Tolstoy’s novel "Resurrection," whose life story explores themes of moral redemption and social injustice in late 19th-century Russia.
-
D.
Adua Veroni
Adua Veroni is an Italian woman best known as the first wife of legendary tenor Luciano Pavarotti, with whom she shared much of his early life and career.
-
E.
Yulania
Yulania is a genus of flowering plants in the magnolia family, known for its ornamental, often early-blooming trees and shrubs.
- 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: Ganna Triple: [Luigi Ganna, familyName, Ganna]
Generated description
Ganna is an Italian surname most notably associated with Luigi Ganna, the winner of the first Giro d'Italia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ganna Target entity description: Ganna is an Italian surname most notably associated with Luigi Ganna, the winner of the first Giro d'Italia.
-
A.
Tatjana
Tatjana is a feminine given name, commonly used in various European countries as a variant of Tatyana.
-
B.
Jolanda
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
-
C.
Katusha Maslova
Katusha Maslova is a central fictional character in Leo Tolstoy’s novel "Resurrection," whose life story explores themes of moral redemption and social injustice in late 19th-century Russia.
-
D.
Adua Veroni
Adua Veroni is an Italian woman best known as the first wife of legendary tenor Luciano Pavarotti, with whom she shared much of his early life and career.
-
E.
Yulania
Yulania is a genus of flowering plants in the magnolia family, known for its ornamental, often early-blooming trees and shrubs.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cbfef08190a33ac1f198c82cd0 |
completed | April 26, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb481ba48190b6d21a51ae23a281 |
completed | May 17, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_6a09bea3994481908b7a782fd384603a |
completed | May 17, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09bf9d2d508190a45847afa0d47337 |
completed | May 17, 2026, 1:16 p.m. |
Created at: April 16, 2026, 5:13 p.m.