Triple

T34884718

Position	Surface form	Disambiguated ID	Type / Status
Subject	чемпионат мира по хоккею с шайбой 2008	`E1006111`	entity
Predicate	главный тренер чемпиона	`P54222`	FINISHED
Object	Вячеслав Быков Вячеслав Быков — советский и российский хоккеист и тренер, двукратный олимпийский чемпион как игрок и многократный чемпион мира как игрок и главный тренер сборной России.	`E2116707`	NE FINISHED

How this triple was built (3 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: Вячеслав Быков | Statement: [чемпионат мира по хоккею с шайбой 2008, главный тренер чемпиона, Вячеслав Быков]

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: Вячеслав Быков
Triple: [чемпионат мира по хоккею с шайбой 2008, главный тренер чемпиона, Вячеслав Быков]

Generated description

Вячеслав Быков — советский и российский хоккеист и тренер, двукратный олимпийский чемпион как игрок и многократный чемпион мира как игрок и главный тренер сборной России.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: главный тренер чемпиона
Context triple: [чемпионат мира по хоккею с шайбой 2008, главный тренер чемпиона, Вячеслав Быков]

A. managerFullNameOfChampionTeam chosen
Indicates the full name of the manager who leads or is in charge of the champion team.
B. championCoachPosition
Indicates that a coach held the coaching position for a team that won a championship.
C. generalManagerOfChampion
Indicates that one entity serves as the general manager responsible for overseeing and managing the champion entity.
D. finalManagerOfChampion
Indicates that the subject is the ultimate or last manager responsible for the champion entity, typically at the time of its final or defining achievement.
E. champion
Indicates that one entity has won a competition or contest and holds the top position or title over others.
F. None of above.

Provenance (6 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_69f76dbedb288190afe5780710847410`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f782c98fa08190870b68de2c1ff26a`	completed	May 3, 2026, 5:15 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3786d98bd081909f5552cbc2584537`	completed	June 21, 2026, 6:38 a.m.
NEDg	Description generation	`batch_6a378b018498819099d2f85798388d1b`	completed	June 21, 2026, 6:56 a.m.
NED2	Entity disambiguation (via description)	`batch_6a378b9bbc8081909e7f69795d3ff447`	completed	June 21, 2026, 6:58 a.m.
PD	Predicate disambiguation	`batch_69f781020cc4819088c40cb8589504e4`	completed	May 3, 2026, 5:08 p.m.

Created at: May 3, 2026, 4 p.m.