Triple
T759544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vezina Trophy |
E16034
|
entity |
| Predicate | goaltenderPosition |
P11751
|
FINISHED |
| Object | ice hockey goaltender |
—
|
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: ice hockey goaltender | Statement: [Vezina Trophy, goaltenderPosition, ice hockey goaltender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goaltenderPosition Context triple: [Vezina Trophy, goaltenderPosition, ice hockey goaltender]
-
A.
bestDefenceman
Indicates that the subject is recognized as the top-performing or most outstanding defenceman among a specified group or within a particular context.
-
B.
bestGoalkeeper
Indicates that the subject is considered the top-performing or most skilled goalkeeper among a specified group or context.
-
C.
defensiveRole
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
-
D.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
-
E.
playsInPosition
chosen
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a67f9778819098d3c144dd26b976 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.