Triple
T10016357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Ilyich Golovin |
E199505
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Golovin
Golovin is a Russian surname historically borne by various notable figures in politics, the military, and the arts.
|
E835102
|
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: Golovin | Statement: [Ivan Ilyich Golovin, familyName, Golovin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golovin Context triple: [Ivan Ilyich Golovin, familyName, Golovin]
-
A.
Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
-
B.
Malinovsky
Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
-
C.
Kozlov
Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
-
D.
Kozlov
Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
-
E.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
- 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: Golovin Triple: [Ivan Ilyich Golovin, familyName, Golovin]
Generated description
Golovin is a Russian surname historically borne by various notable figures in politics, the military, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Golovin Target entity description: Golovin is a Russian surname historically borne by various notable figures in politics, the military, and the arts.
-
A.
Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
-
B.
Malinovsky
Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
-
C.
Kozlov
Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
-
D.
Kozlov
Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
-
E.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a99971081908397f06c0ce913d0 |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26c20f50081909a8a3b4530dc5fc0 |
completed | April 5, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26caee48481909d085b8df7ce14ab |
completed | April 5, 2026, 2:07 p.m. |
Created at: March 30, 2026, 8:53 p.m.