Triple
T8055963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knavs |
E188000
|
entity |
| Predicate | usedByPerson |
P1480
|
FINISHED |
| Object | Amalija 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: Amalija Knavs | Statement: [Knavs, usedByPerson, Amalija Knavs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amalija Knavs Context triple: [Knavs, usedByPerson, Amalija 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.
Zora Tavčar
Zora Tavčar is a Slovene writer and essayist known for her literary and critical work, particularly within the Slovene minority community in Italy.
-
C.
Zora Plešnar
Zora Plešnar was a notable Slovenian photographer recognized for her expressive black-and-white imagery and significant contribution to 20th-century Slovenian art photography.
-
D.
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.
-
E.
Sonja Severdija
Sonja Severdija is best known as the wife of minimalist light artist Dan Flavin.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa26fb88190b6799bddeb68ed78 |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63d2d5008190b768e7a8b910e460 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:25 p.m.