Triple
T15046826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvonne Zima |
E379249
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zima |
E379249
|
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: Zima | Statement: [Yvonne Zima, familyName, Zima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zima Context triple: [Yvonne Zima, familyName, Zima]
-
A.
Zima
chosen
Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
-
B.
Zima
Zima is a small Siberian town in Russia known as the birthplace of poet Yevgeny Yevtushenko.
-
C.
Blizne
Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
-
D.
Mraz
Mraz is a surname most notably associated with American singer-songwriter Jason Mraz.
-
E.
Bliznaka
Bliznaka is one of Bulgaria’s famous Seven Rila Lakes, known for its distinctive twin-like shape and scenic alpine surroundings in the Rila Mountains.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.