Triple
T17566950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgy Shonin |
E427838
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Georgy Shonin |
—
|
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: Georgy Shonin | Statement: [Georgy Shonin, name, Georgy Shonin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgy Shonin Context triple: [Georgy Shonin, name, Georgy Shonin]
-
A.
Georgy Shonin
chosen
Georgy Shonin was a Soviet cosmonaut and pilot who flew on the Soyuz 6 mission in 1969 and later became a prominent aviation and space program official.
-
B.
Yuri Sakazaki
Yuri Sakazaki is a recurring heroine and martial artist from SNK's fighting game franchises, particularly known for her energetic personality and Kyokugen karate fighting style.
-
C.
Leo Shuken
Leo Shuken was an American film composer and orchestrator known for his work on numerous Hollywood scores during the mid-20th century.
-
D.
Koji Sato
Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
-
E.
Eishiro Saito
Eishiro Saito was a prominent Japanese businessman and sports administrator who notably led the organizing committee for the 1998 Winter Olympics in Nagano.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592da1bc8190968f895e579771ed |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.