Triple
T1214724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryne Sandberg |
E26081
|
entity |
| Predicate | GoldGloveCount |
P25060
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Ryne Sandberg, GoldGloveCount, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GoldGloveCount Context triple: [Ryne Sandberg, GoldGloveCount, 9]
-
A.
GoldGloveYear
Indicates the year in which an entity received a Gold Glove award.
-
B.
GoldGloveAward
Indicates that an entity has received a Gold Glove Award, recognizing superior defensive performance in baseball.
-
C.
GoldenGloveWinner
Indicates that the subject has been awarded the Golden Glove (or Gold Glove) honor, recognizing superior defensive performance in their sport.
-
D.
mostValuablePlayerAward
Indicates that an entity has received a "Most Valuable Player" award recognizing it as the most outstanding performer in a particular context or competition.
-
E.
numberOfDefensivePlayerOfTheYearAwards
Indicates the count of times an entity has received the Defensive Player of the Year award.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be0370b4819093618930f4eecfcc |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:46 p.m.