Triple
T8099119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mishanya |
E189061
|
entity |
| Predicate | associatedFullName |
P24023
|
FINISHED |
| Object | Михаил |
E36451
|
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: Михаил | Statement: [Mishanya, associatedFullName, Михаил]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Михаил Context triple: [Mishanya, associatedFullName, Михаил]
-
A.
Mikhail
chosen
Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
-
B.
Aleksandr
Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
-
C.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
D.
Nikolai
Nikolai is a recurring Russian ally and pilot in the Call of Duty: Modern Warfare series, known for assisting the main protagonists with transport and intelligence.
-
E.
Юрий
Юрий is a common Russian male given name, often rendered in English as Yuri and borne by numerous notable figures in Russian and Soviet history and culture.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42961ad4819085d023427fc5ac5f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce38eaf93481908939e770f0dda7f5 |
completed | April 2, 2026, 9:37 a.m. |
Created at: March 30, 2026, 5:30 p.m.