Triple
T8670359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergej Milinković-Savić |
E205780
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sergej |
E64229
|
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: Sergej | Statement: [Sergej Milinković-Savić, givenName, Sergej]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergej Context triple: [Sergej Milinković-Savić, givenName, Sergej]
-
A.
Sergei
chosen
Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
B.
Nikita Gusev
Nikita Gusev is a Russian professional ice hockey forward known for his high-end playmaking skills and success in both the Kontinental Hockey League and the NHL.
-
C.
Sergey Sokolov
Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
-
D.
Sergei Smirnov
Sergei Smirnov is a Russian mathematician known for his contributions to probability theory and mathematical physics.
-
E.
Grigory Semyonov
Grigory Semyonov was a Russian Cossack military leader and prominent anti-Bolshevik figure who commanded White forces in Siberia and the Russian Far East during the Russian Civil War.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4918e3a88190b3c49043211840fd |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeafd26f4819092f5adc1ac70148f |
completed | April 3, 2026, 4:29 p.m. |
Created at: March 30, 2026, 6:31 p.m.