Triple
T30396750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | $100,000 infield |
E773239
|
entity |
| Predicate | hasSecondBaseman |
P152182
|
FINISHED |
| Object | Eddie Collins |
—
|
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: Eddie Collins | Statement: [$100,000 infield, hasSecondBaseman, Eddie Collins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondBaseman Context triple: [$100,000 infield, hasSecondBaseman, Eddie Collins]
-
A.
secondBaseman
chosen
Indicates that an entity plays the defensive position of second baseman in baseball relative to a team or game.
-
B.
hasFirstBaseman
Indicates that one entity serves as the first baseman (the defensive player covering first base) for a particular team, lineup, or game context.
-
C.
hasThirdBaseman
Indicates that a baseball team is associated with a specific player who occupies the defensive position of third baseman.
-
D.
nationalLeagueStartingSecondBaseman
Indicates that the subject is the starting second baseman for a team in Major League Baseball’s National League.
-
E.
americanLeagueStartingSecondBaseman
Indicates that the subject served as the starting second baseman for a team in Major League Baseball’s American League.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: April 29, 2026, 8:02 p.m.