Triple
T12616647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Bednar |
E301270
|
entity |
| Predicate | CalderCupWonAsCoach |
P105922
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Jared Bednar, CalderCupWonAsCoach, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CalderCupWonAsCoach Context triple: [Jared Bednar, CalderCupWonAsCoach, 2016]
-
A.
CalderCupWinner
Indicates that the subject team has won the American Hockey League’s Calder Cup championship for that season or year.
-
B.
headCoachOfStanleyCupWinner
Indicates that a person served as the head coach of the team that won the Stanley Cup in a given season.
-
C.
StanleyCupWonWith
Indicates that a person or team won the Stanley Cup while being a member of or associated with a specific team.
-
D.
KingClancyTrophyWinner
Indicates that the subject is the recipient of the NHL’s King Clancy Memorial Trophy for leadership and humanitarian contribution.
-
E.
CalderCupRunnerUp
Indicates that a team finished as the second-place finalist (losing team in the championship series) in a given season’s Calder Cup competition.
- 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_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. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:12 p.m.