Triple
T12439184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J.D. Drew |
E297225
|
entity |
| Predicate | sluggingPercentageCareer |
P10810
|
FINISHED |
| Object | .489 |
—
|
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: .489 | Statement: [J.D. Drew, sluggingPercentageCareer, .489]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sluggingPercentageCareer Context triple: [J.D. Drew, sluggingPercentageCareer, .489]
-
A.
careerSluggingPercentage
chosen
Indicates the overall slugging percentage a player has achieved across their entire career.
-
B.
SluggingPercentage
Indicates the rate at which a batter accumulates total bases per at-bat, reflecting their overall power-hitting effectiveness.
-
C.
sluggingAbility
Indicates a subject’s capacity or effectiveness at hitting for power, typically measured by how hard and far they can hit in contexts like baseball or similar sports.
-
D.
onBasePlusSluggingCareer
Indicates a player’s career-long combined performance in getting on base and hitting for power, typically measured as on-base percentage plus slugging percentage.
-
E.
careerOnBasePercentage
Indicates a player's on-base percentage averaged over the entire duration of their 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.