Triple
T23097666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Whitaker |
E575938
|
entity |
| Predicate | numberOfSilverSluggers |
P80943
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Lou Whitaker, numberOfSilverSluggers, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSilverSluggers Context triple: [Lou Whitaker, numberOfSilverSluggers, 4]
-
A.
numberOfSilverSluggerAwards
chosen
Indicates the count of Silver Slugger Awards that an entity has received.
-
B.
SilverSluggerOrEquivalent
Indicates that an entity has received a Silver Slugger award or an officially recognized equivalent offensive-performance award.
-
C.
SilverSluggerAwardYear
Indicates the year in which a given entity received the Silver Slugger Award.
-
D.
SilverSluggerAward
Indicates that an entity has received the Silver Slugger Award, recognizing it as one of the best offensive players at its position in a given baseball season.
-
E.
baseballAchievement
Indicates that an entity has attained a notable accomplishment, record, or honor specifically within the context of baseball.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de61c7c8190809920fa1071935f |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.