Triple
T12052243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zora Plešnar |
E286944
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zora Plešnar |
E286944
|
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: Zora Plešnar | Statement: [Zora Plešnar, name, Zora Plešnar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zora Plešnar Context triple: [Zora Plešnar, name, Zora Plešnar]
-
A.
Zora Plešnar
chosen
Zora Plešnar was a notable Slovenian photographer recognized for her expressive black-and-white imagery and significant contribution to 20th-century Slovenian art photography.
-
B.
Miran Kambič
Miran Kambič is a Slovenian architect known for his work on significant cultural and museum renovation projects.
-
C.
Anton Korošec
Anton Korošec was a Slovene Roman Catholic priest and politician who became a key leader in South Slavic unification efforts and later a prominent statesman in the Kingdom of Yugoslavia.
-
D.
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.
-
E.
Jožef Tominc
Jožef Tominc was a 19th-century Slovene-Italian painter known for his refined Biedermeier-style portraits and genre scenes.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90423b22081908fba82fbc6b40eb5 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49ddde6548190adae2a889ec5c72b |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.