Triple
T13482051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan Tengri |
E318394
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Mikhail Pogrebetsky |
—
|
NE NERFINISHED |
How this triple was built (3 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: Mikhail Pogrebetsky | Statement: [Khan Tengri, firstAscentBy, Mikhail Pogrebetsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikhail Pogrebetsky Context triple: [Khan Tengri, firstAscentBy, Mikhail Pogrebetsky]
-
A.
Mikhail Lashevich
Mikhail Lashevich was a Bolshevik revolutionary and Soviet military commander who played a significant role in the early years of the Soviet state.
-
B.
Mikhail Plisetski
Mikhail Plisetski was a Soviet official and the father of renowned ballerina Maya Plisetskaya, who was arrested and executed during Stalin’s purges.
-
C.
Mikhail Grigorenko
Mikhail Grigorenko is a Russian professional ice hockey forward who was a highly touted NHL prospect and first-round draft pick known for his offensive skill and playmaking ability.
-
D.
Mikhail Pervukhin
Mikhail Pervukhin was a prominent Soviet statesman and economic administrator who played a key role in managing and developing the USSR’s heavy industry sector during the mid-20th century.
-
E.
Pavel Abrosimov
Pavel Abrosimov was a Soviet architect known for designing prominent government buildings, including key administrative structures in Moscow.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mikhail Pogrebetsky Target entity description: Mikhail Pogrebetsky was a mountaineer known for leading the first successful ascent of Khan Tengri in the Tian Shan range.
-
A.
Mikhail Lashevich
Mikhail Lashevich was a Bolshevik revolutionary and Soviet military commander who played a significant role in the early years of the Soviet state.
-
B.
Mikhail Plisetski
Mikhail Plisetski was a Soviet official and the father of renowned ballerina Maya Plisetskaya, who was arrested and executed during Stalin’s purges.
-
C.
Mikhail Grigorenko
Mikhail Grigorenko is a Russian professional ice hockey forward who was a highly touted NHL prospect and first-round draft pick known for his offensive skill and playmaking ability.
-
D.
Mikhail Pervukhin
Mikhail Pervukhin was a prominent Soviet statesman and economic administrator who played a key role in managing and developing the USSR’s heavy industry sector during the mid-20th century.
-
E.
Pavel Abrosimov
Pavel Abrosimov was a Soviet architect known for designing prominent government buildings, including key administrative structures in Moscow.
- F. None of above. chosen
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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
Created at: April 9, 2026, 9:42 p.m.