Triple
T6658592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Niedermayer |
E151410
|
entity |
| Predicate | wonMemorialCup |
P71086
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Scott Niedermayer, wonMemorialCup, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonMemorialCup Context triple: [Scott Niedermayer, wonMemorialCup, yes]
-
A.
MemorialCupTitle
chosen
Indicates that an entity has won or holds a Memorial Cup championship title in a given competition or season.
-
B.
MemorialCupTitleSeason
Indicates the specific season in which a team or individual won a Memorial Cup championship title.
-
C.
presidentsTrophy
Indicates that the subject has been awarded the Presidents' Trophy, recognizing the best regular-season performance in a given league or competition.
-
D.
JenningsTrophyTeam
Indicates that a team is recognized as the recipient of the William M. Jennings Trophy, awarded for allowing the fewest goals against in an NHL season.
-
E.
memorialCupTitles
Indicates the number of Memorial Cup championship titles that an entity has won.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.