Triple
T159879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Zimmerman |
E3258
|
entity |
| Predicate | brokeIntoMajorsAs |
P6874
|
FINISHED |
| Object | third baseman |
—
|
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: third baseman | Statement: [Ryan Zimmerman, brokeIntoMajorsAs, third baseman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brokeIntoMajorsAs Context triple: [Ryan Zimmerman, brokeIntoMajorsAs, third baseman]
-
A.
MLBDebutTeam
Indicates the team for which a baseball player made their Major League Baseball debut.
-
B.
draftedIn
Indicates that one entity was selected or recruited into another entity (such as a team, organization, or military service) through a formal draft process.
-
C.
debutedAsMascotFor
Indicates that an entity first appeared or was introduced in the role of a mascot representing another entity.
-
D.
initialFieldingBegan
Indicates that the initial deployment or implementation of something (such as a system, product, or capability) has started.
-
E.
inauguralSeason
Indicates the first season in which an entity (such as a team, league, or event) officially began participating or operating.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2580b00988190868ee24c0289cf70 |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.