Triple
T19867245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Shoigu |
E477420
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ksenia Shoigu |
—
|
NE NERFINISHED |
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: Ksenia Shoigu | Statement: [Sergei Shoigu, child, Ksenia Shoigu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ksenia Shoigu Context triple: [Sergei Shoigu, child, Ksenia Shoigu]
-
A.
Irina Shoigu
chosen
Irina Shoigu is a Russian businesswoman and public figure best known as the wife of longtime Russian defense minister Sergei Shoigu.
-
B.
Tatiana Golikova
Tatiana Golikova is a Russian economist and politician who has held several high-ranking government positions, including serving as a deputy prime minister and overseeing social policy and public health.
-
C.
Svetlana Zakharova
Svetlana Zakharova is a renowned Russian prima ballerina acclaimed worldwide for her virtuosity, artistry, and leading roles in classical ballet.
-
D.
Valentina Matviyenko
Valentina Matviyenko is a prominent Russian politician and former governor of Saint Petersburg who has long been one of the most powerful women in Russian politics.
-
E.
Tatiana Likhacheva
Tatiana Likhacheva was a Soviet film editor best known for her work on Sergei Bondarchuk’s epic film adaptation of Leo Tolstoy’s "War and Peace" (1965–1967).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a0a7288190a82b85e3ae056d6b |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.