Triple
T26009445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 Stanley Cup Playoffs |
E646852
|
entity |
| Predicate | MVPnationality |
P32072
|
FINISHED |
| Object | Canadian |
—
|
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: Canadian | Statement: [2006 Stanley Cup Playoffs, MVPnationality, Canadian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MVPnationality Context triple: [2006 Stanley Cup Playoffs, MVPnationality, Canadian]
-
A.
MVPNationality
chosen
Indicates that an entity’s nationality is associated with a specific Most Valuable Player (MVP) recognition or context.
-
B.
MVP
Indicates that an entity has been selected or recognized as the “Most Valuable Player,” i.e., the most outstanding or impactful participant within a specific game, season, event, or context.
-
C.
MVPTypeAward
Indicates that an entity has received a specific type or category of Most Valuable Player (MVP) award.
-
D.
MVPposition
Indicates the position or role in which an entity served when it was recognized as the Most Valuable Player (MVP).
-
E.
MVPJerseyNumber
Indicates the jersey number worn by the player who received the MVP (Most Valuable Player) award in a given context.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605b43e348190ab26a118c163ae5a |
completed | May 2, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 9:01 a.m.