Triple
T997195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Roy |
E21520
|
entity |
| Predicate | VezinaTrophyWins |
P21710
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Patrick Roy, VezinaTrophyWins, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VezinaTrophyWins Context triple: [Patrick Roy, VezinaTrophyWins, 3]
-
A.
VezinaTrophyYear
Indicates the year in which a given Vezina Trophy was awarded or associated with a particular recipient.
-
B.
presidentsTrophyWins
Indicates the number of times an entity has won the Presidents' Trophy, awarded for the best regular-season record in a league.
-
C.
NorrisTrophyWins
Indicates the number of times an entity has won the Norris Trophy, awarded annually to the NHL’s top defenseman.
-
D.
CalderTrophyYear
Indicates the year in which a player received the Calder Memorial 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4e0f0d081908b888c246d001786 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2af071c819086c374a16307dfe0 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:41 p.m.