Triple
T12616648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Bednar |
E301270
|
entity |
| Predicate | KellyCupWonAsCoach |
P7572
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Jared Bednar, KellyCupWonAsCoach, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KellyCupWonAsCoach Context triple: [Jared Bednar, KellyCupWonAsCoach, 2009]
-
A.
notableAchievementAsCoach
Indicates that the subject has a significant or distinguished accomplishment specifically in their role as a coach.
-
B.
championshipWonAsCoach
chosen
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
C.
coachedTeamInChampionshipGame
Indicates that a person served as the coach of a particular team specifically in a championship game.
-
D.
returnedAsHeadCoach
Indicates that an individual resumed a previous role as head coach of a team or organization after a period of absence.
-
E.
medalWonAsCoach
Indicates that an individual has won a medal in the role of a coach rather than as a competitor.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:12 p.m.