Triple
T1619929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Bossy |
E35006
|
entity |
| Predicate | wonLadyByngMemorialTrophy |
P31003
|
FINISHED |
| Object | 1982-1983 |
—
|
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: 1982-1983 | Statement: [Mike Bossy, wonLadyByngMemorialTrophy, 1982-1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonLadyByngMemorialTrophy Context triple: [Mike Bossy, wonLadyByngMemorialTrophy, 1982-1983]
-
A.
ArtRossTrophy
Indicates that the subject has been awarded the Art Ross Trophy, recognizing them as the leading point scorer in a National Hockey League regular season.
-
B.
HartMemorialTrophy
Indicates that an entity has been awarded the Hart Memorial Trophy, recognizing them as the most valuable player to their team in the NHL during a given season.
-
C.
ConnSmytheTrophy
Indicates that an entity has been awarded the Conn Smythe Trophy, recognizing them as the most valuable player during the National Hockey League’s Stanley Cup playoffs.
-
D.
VezinaTrophyWins
Indicates the number of times an entity has won the Vezina Trophy.
-
E.
presidentsTrophy
Indicates that the subject has been awarded the Presidents' Trophy, recognizing the best regular-season performance in a given league or 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99ca48c888190876500df1a885c11 |
completed | March 5, 2026, 3:09 p.m. |
Created at: March 4, 2026, 7:28 p.m.