Triple
T2327892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Yurzinov |
E48331
|
entity |
| Predicate | coachedTeam |
P2169
|
FINISHED |
| Object | Jokerit |
E66429
|
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: Jokerit | Statement: [Vladimir Yurzinov, coachedTeam, Jokerit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jokerit Context triple: [Vladimir Yurzinov, coachedTeam, Jokerit]
-
A.
Jokerit
chosen
Jokerit is a professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and popular teams.
-
B.
HIFK Helsinki
HIFK Helsinki is a prominent professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and traditional teams in the Liiga.
-
C.
Brynas IF
Brynäs IF is a professional Swedish ice hockey club based in Gävle, historically one of the country's most successful teams and a notable developer of NHL talent.
-
D.
Frölunda HC
Frölunda HC is a professional ice hockey club from Gothenburg, Sweden, competing in the top-tier Swedish Hockey League and known for its strong fan base and successful history.
-
E.
Leksand
Leksand is a small Swedish town in Dalarna County known for its traditional midsummer celebrations, picturesque lakeside setting, and strong ice hockey 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc64c7f1881909b0d847f7782e803 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897243c48190a18b0e02ad664ead |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:50 p.m.