Triple
T29362959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 Major League Baseball season |
E744640
|
entity |
| Predicate | YankeesKeyPlayer |
P111289
|
FINISHED |
| Object | Derek Jeter |
—
|
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: Derek Jeter | Statement: [1998 Major League Baseball season, YankeesKeyPlayer, Derek Jeter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: YankeesKeyPlayer Context triple: [1998 Major League Baseball season, YankeesKeyPlayer, Derek Jeter]
-
A.
YankeesStarPlayer
chosen
Indicates that the subject is a standout or key player for the New York Yankees baseball team.
-
B.
BabeRuthRole
Indicates that an entity holds the specific role or position associated with Babe Ruth (e.g., as a legendary baseball player or cultural figure) in relation to another entity.
-
C.
babeRuthRole
Indicates that one entity serves in the specific role or capacity associated with Babe Ruth (e.g., as a legendary baseball player or iconic sports figure) in relation to another entity.
-
D.
YankeesGeneralManager
Indicates that the subject serves as the general manager of the New York Yankees baseball team.
-
E.
isKeyPlayerFor
Indicates that an entity plays a crucial or central role in the success, functioning, or performance of another entity (such as a team, project, or organization).
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 2:20 p.m.