Triple
T16405037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyuz 1 |
E398403
|
entity |
| Predicate | casualty |
P20149
|
FINISHED |
| Object | Vladimir Komarov |
E306535
|
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: Vladimir Komarov | Statement: [Soyuz 1, casualty, Vladimir Komarov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vladimir Komarov Context triple: [Soyuz 1, casualty, Vladimir Komarov]
-
A.
Vladimir Komarov
chosen
Vladimir Komarov was a Soviet cosmonaut and test pilot who became the first human to die during a spaceflight, perishing in the Soyuz 1 mission in 1967.
-
B.
Sergei Komarov
Sergei Komarov is a notable individual who shares the surname Komarov, which is borne by several prominent Russian figures in fields such as space exploration, science, and the arts.
-
C.
Mikhail Komarov
Mikhail Komarov is a person notable enough to be recognized as a prominent bearer of the surname Komarov.
-
D.
Vladimir Titov
Vladimir Titov is a Russian cosmonaut known for his long-duration missions and pioneering work on the joint U.S.–Russian Shuttle–Mir spaceflight program.
-
E.
Yevgeny Leonov
Yevgeny Leonov was a beloved Soviet and Russian film and theater actor known for his warm, expressive performances and memorable roles in both comedies and dramas.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d1f16481909adb19dab86dcc72 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f439d048190bf779cb263b7c7a7 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:09 a.m.