Triple
T30396749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | $100,000 infield |
E773239
|
entity |
| Predicate | hasFirstBaseman |
P196006
|
FINISHED |
| Object | Stuffy McInnis |
—
|
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: Stuffy McInnis | Statement: [$100,000 infield, hasFirstBaseman, Stuffy McInnis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstBaseman Context triple: [$100,000 infield, hasFirstBaseman, Stuffy McInnis]
-
A.
hasThirdBaseman
Indicates that a baseball team is associated with a specific player who occupies the defensive position of third baseman.
-
B.
AmericanLeagueStartingFirstBaseman
Indicates that an entity serves as the starting first baseman for a team in Major League Baseball’s American League.
-
C.
secondBaseman
Indicates that an entity plays the defensive position of second baseman in baseball relative to a team or game.
-
D.
battedLeadoff
Indicates that an entity served as the first batter in the lineup for a team in a particular game or context.
-
E.
battedLeftFieldPrimarilyFor
Indicates that an entity mainly played in the left field position while batting for a particular team or during a specific period.
- 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_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: April 29, 2026, 8:02 p.m.