Triple
T1025164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuri Andropov |
E22123
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yuri |
E40856
|
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: Yuri | Statement: [Yuri Andropov, givenName, Yuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuri Context triple: [Yuri Andropov, givenName, Yuri]
-
A.
Yuri
chosen
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Sergei
Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
D.
Boris
Boris is the given name of Boris Johnson, the former Prime Minister of the United Kingdom and prominent British Conservative politician.
-
E.
Yakov
Yakov was the eldest son of Soviet leader Joseph Stalin, known for his troubled relationship with his father and his death as a prisoner of war during World War II.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5381e020819094e02c3d20acab95 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:41 p.m.