Triple
T4632093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Bobrovsky |
E101439
|
entity |
| Predicate | VezinaTrophyWinSeason |
P43993
|
FINISHED |
| Object | 2012–13 |
—
|
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: 2012–13 | Statement: [Sergei Bobrovsky, VezinaTrophyWinSeason, 2012–13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VezinaTrophyWinSeason Context triple: [Sergei Bobrovsky, VezinaTrophyWinSeason, 2012–13]
-
A.
VezinaTrophyYear
Indicates the year in which a given Vezina Trophy was awarded or associated with a particular recipient.
-
B.
VezinaTrophyWins
Indicates the number of times an entity has won the Vezina Trophy.
-
C.
VezinaTrophyWinnerTeam
Indicates the team for which a given Vezina Trophy–winning player was playing when they won the award.
-
D.
VezinaTrophyWinner
chosen
Indicates that the subject is the player who won the NHL’s Vezina Trophy for best goaltender in a given season.
-
E.
JenningsTrophySeason
Indicates that the season is one in which a goaltender (or goaltenders) earned the William M. Jennings Trophy for allowing the fewest goals against in the NHL.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a342ffc8190a911d0598ed230bb |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.