Triple
T22161006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red |
E547667
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Galina Reznikov |
—
|
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: Galina Reznikov | Statement: [Red, fullName, Galina Reznikov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galina Reznikov Context triple: [Red, fullName, Galina Reznikov]
-
A.
Galina Zmievskaya
Galina Zmievskaya is a Ukrainian figure skating coach best known for training Olympic champion Oksana Baiul and other elite skaters.
-
B.
Rufina Gurevich
Rufina Gurevich is a mathematician known for her work in areas influenced by Lev Pontryagin’s contributions to topology and control theory.
-
C.
Ludmila Bragina
Ludmila Bragina is a former Soviet middle-distance runner best known for winning Olympic gold and setting multiple world records in the 1500 metres in the early 1970s.
-
D.
Galina "Red" Reznikov
chosen
Galina "Red" Reznikov is a tough, sharp-tongued Russian inmate and prison kitchen boss known for her fierce loyalty and complex moral code in the series.
-
E.
Vera Kostrovitskaya
Vera Kostrovitskaya was a prominent Russian ballet dancer and teacher associated with the classical St. Petersburg ballet tradition.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2d8064819094d27ef9f15c6a1f |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:33 p.m.