Triple
T15599635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plus-Minus Award |
E374995
|
entity |
| Predicate | goaltendersTypicallyEligible |
P119393
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Plus-Minus Award, goaltendersTypicallyEligible, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goaltendersTypicallyEligible Context triple: [Plus-Minus Award, goaltendersTypicallyEligible, no]
-
A.
hasNumberOfGoaltenders
Indicates the specific count of goaltenders associated with a given team, roster, or game context.
-
B.
goaltender
Indicates a relationship where an entity serves as the goalkeeper or primary defender of the goal for a team in a game or sport.
-
C.
goalkeeperPositionRequirement
Indicates the required or expected positioning of a goalkeeper relative to the play, goal, or field in a given situation.
-
D.
losingGoaltender
Indicates that a particular goaltender is the one who was in net for the team that lost the game.
-
E.
goaltenderChampion
Indicates that an entity serves as the championship-winning or title-holding goaltender for a team or competition.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:12 a.m.