Triple
T36676248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 IIHF World Championship |
E905547
|
entity |
| Predicate | allStarTeamGoaltender |
P186157
|
FINISHED |
| Object | Sergei Bobrovsky |
—
|
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: Sergei Bobrovsky | Statement: [2014 IIHF World Championship, allStarTeamGoaltender, Sergei Bobrovsky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allStarTeamGoaltender Context triple: [2014 IIHF World Championship, allStarTeamGoaltender, Sergei Bobrovsky]
-
A.
goaltendersEligible
Indicates that certain goaltenders meet the required conditions to participate or be selected in a given context.
-
B.
hasNumberOfGoaltenders
Indicates the specific count of goaltenders associated with a given team, roster, or game context.
-
C.
goaltendersTypicallyEligible
Indicates that certain individuals, usually those serving as goaltenders, are generally allowed or qualified to participate in a specified role, action, or category.
-
D.
goaltendingDuoAward
Indicates that two goaltenders are jointly recognized with an award for their combined performance or contribution.
-
E.
losingGoaltender
Indicates that a particular goaltender is the one who was in net for the team that lost the game.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:12 p.m.