Triple
T383154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine |
E8723
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Caterina
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
|
E64628
|
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: Caterina | Statement: [Catherine, hasVariant, Caterina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caterina Context triple: [Catherine, hasVariant, Caterina]
-
A.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
B.
Clementina
Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
-
C.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
D.
Anna Cornelia Carbentus
Anna Cornelia Carbentus was the Dutch mother of painter Vincent van Gogh, known primarily through her connection to her famous son and surviving family correspondence.
-
E.
Claudia
Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
- 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: Caterina Triple: [Catherine, hasVariant, Caterina]
Generated description
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caterina Target entity description: Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
-
A.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
B.
Clementina
Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
-
C.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
D.
Anna Cornelia Carbentus
Anna Cornelia Carbentus was the Dutch mother of painter Vincent van Gogh, known primarily through her connection to her famous son and surviving family correspondence.
-
E.
Claudia
Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a424e0d88190b0ad5d0827b762ae |
completed | March 1, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69a4a52c346c8190bbe9ff67a811e472 |
completed | March 1, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4a5be258c8190941b078dc85a1afb |
completed | March 1, 2026, 8:46 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.