Triple
T10452363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sevnica |
E246457
|
entity |
| Predicate | notableResident |
P1092
|
FINISHED |
| Object | Melanija Knavs |
E36036
|
NE FINISHED |
How this triple was built (2 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: Melanija Knavs | Statement: [Sevnica, notableResident, Melanija Knavs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melanija Knavs Context triple: [Sevnica, notableResident, Melanija Knavs]
-
A.
Melanija Knavs
chosen
Melanija Knavs is the Slovenian-born former fashion model who became First Lady of the United States as the wife of Donald Trump.
-
B.
Stanislava Brezovar
Stanislava Brezovar was a Slovenian ballerina best known for her distinguished career at the Ljubljana Opera Ballet and her long partnership with conductor Carlos Kleiber.
-
C.
Sonja Severdija
Sonja Severdija is best known as the wife of minimalist light artist Dan Flavin.
-
D.
Tanja Stomporowski
Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
-
E.
Ivana Kobilca
Ivana Kobilca was a prominent Slovenian realist painter of the late 19th and early 20th centuries, known for her portraits, genre scenes, and role in shaping Slovenian national art.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0b7bb481908182c7b9a80af3b3 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f07c9f48190b0fce7740a2e003a |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:17 p.m.