Triple
T10892009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleg Znarok |
E257199
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Znarok |
E257199
|
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: Znarok | Statement: [Oleg Znarok, familyName, Znarok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Znarok Context triple: [Oleg Znarok, familyName, Znarok]
-
A.
Znarok
chosen
Znarok is the surname of Oleg Znarok, a prominent Russian-Latvian ice hockey coach and former player.
-
B.
Zeilarn
Zeilarn is a small municipality in southeastern Bavaria, Germany, known for its rural character within the district of Altötting.
-
C.
Dagmaer
Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
-
D.
Nadreck
Nadreck is a multi-armed, hyper-logical alien intelligence agent from E. E. "Doc" Smith’s Lensman series, renowned for his coldly methodical and indirect approach to combating evil.
-
E.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1550d6b4081909483c5dfa6e85671 |
completed | April 16, 2026, 9:30 p.m. |
Created at: April 8, 2026, 9:21 p.m.