Triple
T5959388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irina Korina |
E132595
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Korina |
E132595
|
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: Korina | Statement: [Irina Korina, familyName, Korina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korina Context triple: [Irina Korina, familyName, Korina]
-
A.
Korina
chosen
Korina is the surname of Irina Korina, a contemporary Russian artist known for her installations and sculptural works.
-
B.
Kiana
Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
-
C.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
D.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
E.
Marzelline
Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039fbf49881909d97b4abb3c5286d |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3e3736c8190b445156f0c1bdf1f |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.