Triple
T5230196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mir EO-21 |
E118090
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Yuri Onufrienko |
E504395
|
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: Yuri Onufrienko | Statement: [Mir EO-21, commander, Yuri Onufrienko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuri Onufrienko Context triple: [Mir EO-21, commander, Yuri Onufrienko]
-
A.
Yuri Onufrienko
chosen
Yuri Onufrienko is a Russian cosmonaut and former commander of both Mir and International Space Station expeditions.
-
B.
Natalia Sedova
Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
-
C.
Zoriana Skaletska
Zoriana Skaletska is a Ukrainian lawyer and public health expert who briefly served as Ukraine’s Minister of Health in the government of Oleksiy Honcharuk.
-
D.
Sonya
Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
-
E.
Tatiana Romanova
Tatiana Romanova is a Soviet cipher clerk and key Bond girl who becomes entangled with James Bond in the espionage plot of Ian Fleming’s novel and its film adaptation "From Russia with Love."
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ae006ec8190abd23f650ca5bf53 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe604a848190a3f6cc90185b3ca2 |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:48 p.m.