Triple
T16071541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Vuckovich |
E389873
|
entity |
| Predicate | earnedRunAverageCareer |
P8294
|
FINISHED |
| Object | 3.66 |
—
|
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: 3.66 | Statement: [Pete Vuckovich, earnedRunAverageCareer, 3.66]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earnedRunAverageCareer Context triple: [Pete Vuckovich, earnedRunAverageCareer, 3.66]
-
A.
earnedRunAverage
Indicates the average number of earned runs a pitcher allows per nine innings pitched.
-
B.
earnedRunAverageTitle
Indicates that a player has received the title or recognition for having the best earned run average (ERA) in a given baseball league or season.
-
C.
earnedRunAverageLeaderSeasons
Indicates the seasons in which an entity led a league or competition in earned run average (ERA).
-
D.
careerEarnedRunAverage
chosen
Indicates the average number of earned runs a pitcher allows per nine innings over the entire span of their career.
-
E.
careerRunsScored
Indicates the total number of runs an entity has scored over the entire duration of their playing career.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.