Triple
T8144599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bret Boone |
E190175
|
entity |
| Predicate | numberOfSilverSluggerAwards |
P80943
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Bret Boone, numberOfSilverSluggerAwards, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSilverSluggerAwards Context triple: [Bret Boone, numberOfSilverSluggerAwards, 2]
-
A.
SilverSluggerAwardYear
Indicates the year in which a given entity received the Silver Slugger Award.
-
B.
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.
-
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.
GoldGloveCount
Indicates the number of Gold Glove awards an entity has received.
- F. None of above. chosen
Provenance (4 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4445f1948190b8d319b60dd47f65 |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.