Triple
T24051644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Wheeldon Jr. |
E595675
|
entity |
| Predicate | sportCountryOfCoaching |
P24596
|
FINISHED |
| Object | Canada |
—
|
NE NERFINISHED |
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 | Statement: [Tommy Wheeldon Jr., sportCountryOfCoaching, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportCountryOfCoaching Context triple: [Tommy Wheeldon Jr., sportCountryOfCoaching, Canada]
-
A.
countryCoached
chosen
Indicates that a person has served as a coach for a particular country’s team or delegation.
-
B.
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.
-
C.
sportCountry
Indicates the country with which a given sport, sporting event, or sports organization is associated or primarily linked.
-
D.
laterSportCountry
Indicates that one country’s involvement in a sport occurs at a later time than another country’s involvement in that same sport.
-
E.
coachesSport
Indicates that one entity serves as the coach or trainer responsible for another entity’s participation in a particular sport.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9d1527c8190a4cd30bb1988a263 |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:21 p.m.