Triple
T16380628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Peca |
E397795
|
entity |
| Predicate | numberOfTimesAwardReceived(Frank J. Selke Trophy) |
P123168
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Michael Peca, numberOfTimesAwardReceived(Frank J. Selke Trophy), 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAwardReceived(Frank J. Selke Trophy) Context triple: [Michael Peca, numberOfTimesAwardReceived(Frank J. Selke Trophy), 2]
-
A.
NorrisTrophyWins
Indicates the number of times an entity has won the Norris Trophy, awarded annually to the NHL’s top defenseman.
-
B.
ConnSmytheTrophyWins
Indicates the number of times an entity has won the Conn Smythe Trophy.
-
C.
presidentsTrophyWins
Indicates the number of times an entity has won the Presidents' Trophy, awarded for the best regular-season record in a league.
-
D.
VezinaTrophyWins
Indicates the number of times an entity has won the Vezina Trophy.
-
E.
CalderTrophySeason
Indicates that the season is one in which a player was awarded the Calder Memorial Trophy as the NHL’s rookie of the year.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319db5b648190a8fca23518a1fb39 |
completed | April 18, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:08 a.m.