Triple
T37856278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Blake |
E944197
|
entity |
| Predicate | hasNumberOfMLSGoalkeeperOfTheYearAwards |
P199407
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Andre Blake, hasNumberOfMLSGoalkeeperOfTheYearAwards, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMLSGoalkeeperOfTheYearAwards Context triple: [Andre Blake, hasNumberOfMLSGoalkeeperOfTheYearAwards, multiple]
-
A.
inceptionAsGoalkeeperAward
Indicates that an entity received an award specifically recognizing their inaugural or debut season as a goalkeeper.
-
B.
topGoalScorerAward
Indicates that an entity receives an award for scoring the highest number of goals in a given competition or season.
-
C.
mostCleanSheetsByGoalkeeper
Indicates that the subject goalkeeper holds the record for the highest number of matches completed without conceding a goal.
-
D.
mostWinsGoaltenderWins
Indicates that the goaltender associated with this record holds the highest number of wins compared to all other goaltenders in the relevant context.
-
E.
bestGoalkeeper
Indicates that the subject is considered the top-performing or most skilled goalkeeper among a specified group or context.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff370698ec81909bb1596d7d4112ba |
completed | May 9, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69ff3699b6288190b564839cb05f5cf6 |
completed | May 9, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69ff3705e424819090ad7423ceefa506 |
completed | May 9, 2026, 1:30 p.m. |
Created at: May 3, 2026, 4:19 p.m.