Triple
T2355371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleg Znarok |
E47540
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Znarok
Znarok is the surname of Oleg Znarok, a prominent Russian-Latvian ice hockey coach and former player.
|
E257199
|
NE FINISHED |
How this triple was built (4 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.
Magor
Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
-
B.
Nidhivan
Nidhivan is a sacred grove in Vrindavan, India, revered in Hindu tradition as a mystical site associated with Lord Krishna’s nocturnal pastimes with Radha and the gopis.
-
C.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
D.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
E.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Znarok Triple: [Oleg Znarok, familyName, Znarok]
Generated description
Znarok is the surname of Oleg Znarok, a prominent Russian-Latvian ice hockey coach and former player.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Znarok Target entity description: Znarok is the surname of Oleg Znarok, a prominent Russian-Latvian ice hockey coach and former player.
-
A.
Magor
Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
-
B.
Nidhivan
Nidhivan is a sacred grove in Vrindavan, India, revered in Hindu tradition as a mystical site associated with Lord Krishna’s nocturnal pastimes with Radha and the gopis.
-
C.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
D.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
E.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
- F. None of above. chosen
Provenance (5 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fd4e488190b763a1c9b5d18f2c |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae963660108190b58f3288a5b3f96e |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae96b4b378819094853d3503a3b8b4 |
completed | March 9, 2026, 9:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae970a87a4819094e33d3b6347a9b5 |
completed | March 9, 2026, 9:46 a.m. |
Created at: March 4, 2026, 7:54 p.m.