Triple
T19905442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Canada (assistant coach) |
E478401
|
entity |
| Predicate | roleOfJacquesLemaire |
P137768
|
FINISHED |
| Object | assistant 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: assistant coach | Statement: [Team Canada (assistant coach), roleOfJacquesLemaire, assistant coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJacquesLemaire Context triple: [Team Canada (assistant coach), roleOfJacquesLemaire, assistant coach]
-
A.
presidentOfHockeyOperations
Indicates that one entity holds the role or position of president of hockey operations for a specified hockey organization or team.
-
B.
BruinsCaptain
Indicates that the subject serves as the team captain of the Boston Bruins.
-
C.
headCoachTeamCanada
Indicates that a person serves as the head coach of Team Canada.
-
D.
numberOfStanleyCupsAsHeadCoachWithMontrealCanadiens
Indicates the number of Stanley Cup championships an individual has won specifically as the head coach of the Montreal Canadiens.
-
E.
headCoachOfStanleyCupWinner
Indicates that a person served as the head coach of the team that won the Stanley Cup in a given season.
- F. None of above. chosen
Provenance (4 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65945cc2081908224902d5f042d7a |
completed | April 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.