Triple
T23954909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogers Hornsby |
E603757
|
entity |
| Predicate | onBasePlusSluggingPlusCareer |
P13673
|
FINISHED |
| Object | 175 |
—
|
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: 175 | Statement: [Rogers Hornsby, onBasePlusSluggingPlusCareer, 175]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onBasePlusSluggingPlusCareer Context triple: [Rogers Hornsby, onBasePlusSluggingPlusCareer, 175]
-
A.
onBasePlusSluggingCareer
chosen
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.
-
B.
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.
-
C.
careerSluggingPercentage
Indicates the overall slugging percentage a player has achieved across their entire career.
-
D.
SluggingPercentage
Indicates the rate at which a batter accumulates total bases per at-bat, reflecting their overall power-hitting effectiveness.
-
E.
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.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d616ec81908c796894f40f3015 |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.