Triple
T2063837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Kozhedub |
E45851
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kozhedub
Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
|
E230855
|
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: Kozhedub | Statement: [Ivan Kozhedub, familyName, Kozhedub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kozhedub Context triple: [Ivan Kozhedub, familyName, Kozhedub]
-
A.
Kornienko
Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
-
B.
Kudryavy
Kudryavy is an active stratovolcano located on Iturup Island in Russia’s Kuril Island chain, known for its persistent fumarolic activity and gas emissions.
-
C.
Komarov
Komarov is a Russian surname most famously associated with Soviet cosmonaut Vladimir Komarov, the first human to die during a space mission.
-
D.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
E.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
- 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: Kozhedub Triple: [Ivan Kozhedub, familyName, Kozhedub]
Generated description
Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kozhedub Target entity description: Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
-
A.
Kornienko
Kornienko is a Ukrainian surname most notably borne by Oleksandr Kornienko, a contemporary Ukrainian politician and public figure.
-
B.
Kudryavy
Kudryavy is an active stratovolcano located on Iturup Island in Russia’s Kuril Island chain, known for its persistent fumarolic activity and gas emissions.
-
C.
Komarov
Komarov is a Russian surname most famously associated with Soviet cosmonaut Vladimir Komarov, the first human to die during a space mission.
-
D.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
E.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
- F. None of above. chosen
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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d3a92081909416c1d087876e99 |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae271fa66081908be6c685b9bd8aa4 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae28b4f0548190926ac694fbade405 |
completed | March 9, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae292a9d7481909acbc3a5f24ff0b9 |
completed | March 9, 2026, 1:58 a.m. |
Created at: March 4, 2026, 7:40 p.m.