Triple
T35564369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012–13 NHL season |
E1027726
|
entity |
| Predicate | bestGoaltenderTeam |
P113315
|
FINISHED |
| Object | Columbus Blue Jackets |
—
|
NE NERFINISHED |
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: Columbus Blue Jackets | Statement: [2012–13 NHL season, bestGoaltenderTeam, Columbus Blue Jackets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestGoaltenderTeam Context triple: [2012–13 NHL season, bestGoaltenderTeam, Columbus Blue Jackets]
-
A.
bestGoalkeeperTeam
Indicates that a given team is recognized as having the best goalkeeper, or that a particular goalkeeper is considered the best within that team.
-
B.
mostWinsGoaltenderTeam
Indicates that a team is the one for which a given goaltender has recorded the highest number of wins.
-
C.
goaltendingDuoAward
Indicates that two goaltenders are jointly recognized with an award for their combined performance or contribution.
-
D.
LadyByngTrophyWinnerTeam
Indicates the team for which a given Lady Byng Memorial Trophy winner was playing when they received the award.
-
E.
topGoaltenderAward
chosen
Indicates that an entity has received an award recognizing them as the top-performing goaltender.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.