Triple
T16839488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurman Munson |
E409368
|
entity |
| Predicate | YankeesMonumentParkHonoree |
P32284
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Thurman Munson, YankeesMonumentParkHonoree, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: YankeesMonumentParkHonoree Context triple: [Thurman Munson, YankeesMonumentParkHonoree, true]
-
A.
YankeesStarPlayer
Indicates that the subject is a standout or key player for the New York Yankees baseball team.
-
B.
YankeesHomeBallpark
Indicates that a specified ballpark serves as the home stadium for the New York Yankees.
-
C.
YankeesPreviousTitle
Indicates that the subject entity is the immediately preceding championship title held by the New York Yankees before the object entity.
-
D.
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.
-
E.
baseballAchievement
chosen
Indicates that an entity has attained a notable accomplishment, record, or honor specifically within the context of baseball.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b34f902c8190a334ba7caa04ce7e |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.