Triple
T3875991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Biggio |
E92500
|
entity |
| Predicate | silverSluggerAwardCount |
P6872
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Craig Biggio, silverSluggerAwardCount, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: silverSluggerAwardCount Context triple: [Craig Biggio, silverSluggerAwardCount, 5]
-
A.
SilverSluggerAwardYear
Indicates the year in which a given entity received the Silver Slugger Award.
-
B.
SilverSluggerAward
chosen
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.
-
C.
SilverSluggerOrEquivalent
Indicates that an entity has received a Silver Slugger award or an officially recognized equivalent offensive-performance award.
-
D.
baseballAchievement
Indicates that an entity has attained a notable accomplishment, record, or honor specifically within the context of baseball.
-
E.
homeRunDerbyChampion
Indicates that the subject is the winner of a home run derby competition.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.