Triple
T1600268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Matheny |
E34374
|
entity |
| Predicate | GoldGlovePosition |
P30590
|
FINISHED |
| Object | catcher |
—
|
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: catcher | Statement: [Mike Matheny, GoldGlovePosition, catcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GoldGlovePosition Context triple: [Mike Matheny, GoldGlovePosition, catcher]
-
A.
GoldGloveAward
Indicates that an entity has received a Gold Glove Award, recognizing superior defensive performance in baseball.
-
B.
GoldGloveYear
Indicates the year in which an entity received a Gold Glove award.
-
C.
GoldGloveCount
Indicates the number of Gold Glove awards an entity has received.
-
D.
GoldenGloveWinner
Indicates that the subject has been awarded the Golden Glove (or Gold Glove) honor, recognizing superior defensive performance in their sport.
-
E.
bestDefenceman
Indicates that the subject is recognized as the top-performing or most outstanding defenceman among a specified group or within a particular context.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.