Triple
T12676778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuznetsov NK-144 |
E302833
|
entity |
| Predicate | designBureau |
P25389
|
FINISHED |
| Object |
Kuznetsov
Kuznetsov is a prominent Soviet/Russian aerospace and defense design bureau best known for developing powerful aircraft and rocket engines.
|
E617032
|
NE FINISHED |
How this triple was built (4 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: Kuznetsov | Statement: [Kuznetsov NK-144, designBureau, Kuznetsov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuznetsov Context triple: [Kuznetsov NK-144, designBureau, Kuznetsov]
-
A.
Shaposhnikov
Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
-
B.
Akhromeyev
Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
-
C.
Klimov
Klimov is a Russian aerospace company renowned for designing and producing military and civilian gas-turbine engines, particularly for fighter aircraft and helicopters.
-
D.
Fedorov
Fedorov is a common Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
-
E.
Zubov
Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kuznetsov Triple: [Kuznetsov NK-144, designBureau, Kuznetsov]
Generated description
Kuznetsov is a prominent Soviet/Russian aerospace and defense design bureau best known for developing powerful aircraft and rocket engines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuznetsov Target entity description: Kuznetsov is a prominent Soviet/Russian aerospace and defense design bureau best known for developing powerful aircraft and rocket engines.
-
A.
Shaposhnikov
Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
-
B.
Akhromeyev
Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
-
C.
Klimov
chosen
Klimov is a Russian aerospace company renowned for designing and producing military and civilian gas-turbine engines, particularly for fighter aircraft and helicopters.
-
D.
Fedorov
Fedorov is a common Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
-
E.
Zubov
Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
- F. None of above.
Provenance (5 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a341288190822fae2469efea09 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672ac07908190bd2dfe90d55a13c1 |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67360b530819085d5db2aa0b7513d |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:20 p.m.