Triple
T31342886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoît Groulx |
E799355
|
entity |
| Predicate | hasCoachedNationalTeam |
P10045
|
FINISHED |
| Object | Canada men’s national junior ice hockey team |
E65721
|
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: Canada men’s national junior ice hockey team | Statement: [Benoît Groulx, hasCoachedNationalTeam, Canada men’s national junior ice hockey team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachedNationalTeam Context triple: [Benoît Groulx, hasCoachedNationalTeam, Canada men’s national junior ice hockey team]
-
A.
hasPlayedForNationalTeam
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
-
B.
hasCoachedFor
chosen
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
C.
coachedTeamInCountry
Indicates that a person served as a coach for a particular team while that team was based in or associated with a specified country.
-
D.
playedForNationalTeamFrom
Indicates that an entity was a member of and played for a particular national team starting from a specified date or time period.
-
E.
hasCoachedIn
Indicates that one entity has served as a coach in a particular context, such as for a team, organization, event, or location.
- F. None of above.
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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a020243e2b4819086dbfdcf4372405e |
completed | May 11, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2a7218a60881908fb9cd0bc8bc98e7 |
completed | June 11, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_6a0200f585bc8190b774c54cec409b00 |
completed | May 11, 2026, 4:16 p.m. |
Created at: April 29, 2026, 9:17 p.m.