Triple
T14012863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denis Matsuev |
E337129
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Matsuev |
E337129
|
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: Matsuev | Statement: [Denis Matsuev, familyName, Matsuev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matsuev Context triple: [Denis Matsuev, familyName, Matsuev]
-
A.
Bashmet
Bashmet is a Russian surname most prominently associated with Yuri Bashmet, the renowned violist and conductor.
-
B.
Denis Matsuev
chosen
Denis Matsuev is a renowned Russian concert pianist celebrated for his powerful technique and interpretations of Romantic and Russian repertoire.
-
C.
Borodin
Borodin is a Russian surname most famously associated with Alexander Borodin, the 19th-century composer and chemist of the nationalist group known as "The Mighty Handful."
-
D.
Shostka
Shostka is a city in northern Ukraine’s Sumy Oblast, historically known as an important center of the chemical and munitions industry.
-
E.
Davydov
Davydov is a Russian surname most notably associated with Karl Davydov, a prominent 19th-century cellist and composer.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.