Triple
T6679221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Thome |
E151934
|
entity |
| Predicate | battedSluggingPercentage |
P26690
|
FINISHED |
| Object | .554 |
—
|
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: .554 | Statement: [Jim Thome, battedSluggingPercentage, .554]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battedSluggingPercentage Context triple: [Jim Thome, battedSluggingPercentage, .554]
-
A.
SluggingPercentage
chosen
Indicates the rate at which a batter accumulates total bases per at-bat, reflecting their overall power-hitting effectiveness.
-
B.
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.
-
C.
battingAverage
Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
-
D.
onBasePlusSlugging
Indicates a relationship where a player’s offensive performance is quantified by combining their on-base percentage with their slugging percentage into a single metric.
-
E.
battedRuns
Indicates that a player scored a specified number of runs while batting in a cricket (or similar bat-and-ball) context.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:03 p.m.