Triple
T30396752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | $100,000 infield |
E773239
|
entity |
| Predicate | hasThirdBaseman |
P175367
|
FINISHED |
| Object | Frank Baker |
—
|
NE NERFINISHED |
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: Frank Baker | Statement: [$100,000 infield, hasThirdBaseman, Frank Baker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThirdBaseman Context triple: [$100,000 infield, hasThirdBaseman, Frank Baker]
-
A.
nationalLeagueStartingThirdBaseman
Indicates that the subject is the starting third baseman for a team in Major League Baseball’s National League.
-
B.
battedThirdOrFourth
Indicates that an entity took a turn at batting in either the third or fourth position in a lineup or batting order.
-
C.
americanLeagueStartingThirdBaseman
Indicates that the subject served as the starting third baseman for an American League team, typically in a specific season or game context.
-
D.
hasThirdDivision
Indicates that an entity possesses or is associated with a third-level division or subdivision within a hierarchical structure.
-
E.
droppedThirdStrikeCatcher
Indicates that the catcher failed to securely catch a legally third strike, resulting in a dropped third strike situation.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 29, 2026, 8:02 p.m.