Triple
T14816198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Tikhonov |
E348320
|
entity |
| Predicate | WorldChampionshipTitlesAsCoach |
P7572
|
FINISHED |
| Object | multiple |
—
|
LITERAL 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: multiple | Statement: [Viktor Tikhonov, WorldChampionshipTitlesAsCoach, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldChampionshipTitlesAsCoach Context triple: [Viktor Tikhonov, WorldChampionshipTitlesAsCoach, multiple]
-
A.
championshipWonAsCoach
chosen
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
B.
numberOfWorldChampionsCoached
Indicates the count of distinct world champion individuals that a given coach has trained.
-
C.
conferenceChampionshipsWonAsCoach
Indicates the number of conference championship titles an individual has won while serving in the role of coach.
-
D.
medalWonAsCoach
Indicates that an individual has won a medal in the role of a coach rather than as a competitor.
-
E.
numberOfWorldSeriesTitlesAsCoach
Indicates the number of World Series championship titles an individual has won specifically in the role of a coach.
- F. None of above.
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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:49 a.m.