Triple
T14816189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Tikhonov |
E348320
|
entity |
| Predicate | startOfCoachingCareer |
P67641
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Viktor Tikhonov, startOfCoachingCareer, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfCoachingCareer Context triple: [Viktor Tikhonov, startOfCoachingCareer, 1960s]
-
A.
beganUnderCoach
Indicates that one entity started its activity, career, or involvement while being coached or supervised by another entity.
-
B.
coachingStart
Indicates the point in time when a coaching relationship or coaching session begins.
-
C.
startTimeOfProfessionalCareer
chosen
Indicates the point in time when an individual’s professional career formally begins.
-
D.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
-
E.
beganHeadCoachingCareerWith
Indicates that an individual started their head coaching career with a specified team or organization.
- 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.