Triple
T718712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudia |
E14367
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Klaudija
Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
|
E106191
|
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: Klaudija | Statement: [Claudia, hasVariant, Klaudija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klaudija Context triple: [Claudia, hasVariant, Klaudija]
-
A.
Klara Dan
Klara Dan was a Hungarian-American mathematician and computer programmer known for her pioneering work on early digital computers alongside her husband, John von Neumann.
-
B.
Tanja Stomporowski
Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
-
C.
Johanna
Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
-
D.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
E.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
- 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: Klaudija Triple: [Claudia, hasVariant, Klaudija]
Generated description
Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klaudija Target entity description: Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
-
A.
Klara Dan
Klara Dan was a Hungarian-American mathematician and computer programmer known for her pioneering work on early digital computers alongside her husband, John von Neumann.
-
B.
Tanja Stomporowski
Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
-
C.
Johanna
Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
-
D.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
E.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58d4c3c8190ad4527d14bca5e6e |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c70997d081908a10e1aa4e936d32 |
completed | March 4, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_69a7c78161608190a9f5556639f9d97d |
completed | March 4, 2026, 5:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c7e336c8819082bb3523c84fde4e |
completed | March 4, 2026, 5:49 a.m. |
Created at: March 1, 2026, 7:37 p.m.