Triple
T10892647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwenhwyfar |
E257218
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Ginevra
Ginevra is a feminine given name, historically linked to the Arthurian figure Guinevere and used in various European languages, notably Italian.
|
E892791
|
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: Ginevra | Statement: [Gwenhwyfar, hasVariant, Ginevra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginevra Context triple: [Gwenhwyfar, hasVariant, Ginevra]
-
A.
Ludovica
Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
-
B.
Lorenza
Lorenza is a Chilean actress and model best known for her roles in films like "Knock Knock" and "Once Upon a Time in Hollywood."
-
C.
Legnani
Legnani is an Italian surname most notably associated with Pierina Legnani, a celebrated 19th-century prima ballerina assoluta.
-
D.
Alessia
Alessia is a feminine given name of Italian origin, notably borne by Canadian singer-songwriter Alessia Cara.
-
E.
Guglielma
Guglielma is an Italian feminine given name, serving as the female variant of Guglielmo (William).
- 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: Ginevra Triple: [Gwenhwyfar, hasVariant, Ginevra]
Generated description
Ginevra is a feminine given name, historically linked to the Arthurian figure Guinevere and used in various European languages, notably Italian.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ginevra Target entity description: Ginevra is a feminine given name, historically linked to the Arthurian figure Guinevere and used in various European languages, notably Italian.
-
A.
Ludovica
Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
-
B.
Lorenza
Lorenza is a Chilean actress and model best known for her roles in films like "Knock Knock" and "Once Upon a Time in Hollywood."
-
C.
Legnani
Legnani is an Italian surname most notably associated with Pierina Legnani, a celebrated 19th-century prima ballerina assoluta.
-
D.
Alessia
Alessia is a feminine given name of Italian origin, notably borne by Canadian singer-songwriter Alessia Cara.
-
E.
Guglielma
Guglielma is an Italian feminine given name, serving as the female variant of Guglielmo (William).
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1550d6b4081909483c5dfa6e85671 |
completed | April 16, 2026, 9:30 p.m. |
| NEDg | Description generation | batch_69e17d3331788190a9ee03fc4c6ca191 |
completed | April 17, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1ff5b3d488190a545bee24381d01e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 8, 2026, 9:21 p.m.