Triple
T19801346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHL Coach of the Year award |
E475681
|
entity |
| Predicate | winnerLevel |
P52161
|
FINISHED |
| Object | major junior head coach |
—
|
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: major junior head coach | Statement: [CHL Coach of the Year award, winnerLevel, major junior head coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerLevel Context triple: [CHL Coach of the Year award, winnerLevel, major junior head coach]
-
A.
winnerHeight
Indicates that one entity is the height measurement of the winner in a given competition or event.
-
B.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
-
C.
winnerType
chosen
Indicates the category or kind of winner associated with an event, competition, or outcome.
-
D.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
-
E.
winnerDam
Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cc995c81908e4ca85b0639d541 |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.