Triple
T14897399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolai Yudenich |
E359913
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Yudenich |
E359913
|
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: Yudenich | Statement: [Nikolai Yudenich, familyName, Yudenich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yudenich Context triple: [Nikolai Yudenich, familyName, Yudenich]
-
A.
Yudenich
chosen
Yudenich is a Russian surname most notably associated with General Nikolai Yudenich, a leading White movement commander during the Russian Civil War.
-
B.
Zaraysk
Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
-
C.
Kozelsk
Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
-
D.
Nikolaev
Nikolaev is the Russian-language name for Mykolaiv, a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
-
E.
Suvorovo
Suvorovo is a small town in northeastern Bulgaria that serves as an administrative and local economic center within Varna Province.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b6966e88190a0ed475b22a77cf1 |
completed | May 8, 2026, 11:02 p.m. |
Created at: April 10, 2026, 2:11 a.m.