Triple
T24238066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Key |
E603143
|
entity |
| Predicate | playedForInMLB |
P111384
|
FINISHED |
| Object | Toronto Blue Jays |
—
|
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: Toronto Blue Jays | Statement: [Jimmy Key, playedForInMLB, Toronto Blue Jays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForInMLB Context triple: [Jimmy Key, playedForInMLB, Toronto Blue Jays]
-
A.
MLBTeamPlayedFor
chosen
Indicates that a person was a member of and played for a specific Major League Baseball team.
-
B.
joinedMLBIn
Indicates the time or context in which an individual became a member of, or started playing in, Major League Baseball.
-
C.
playedBaseball
Indicates that an entity participated in playing the sport of baseball, typically as a player in a game or activity.
-
D.
playsBaseballFor
Indicates that one entity participates as a baseball player on the team or organization represented by the other entity.
-
E.
numberOfGamesPlayedInMLB
Indicates the total count of games an entity has participated in within Major League 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28a9d70288190ac3cd0c78e08aa90 |
completed | April 29, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:03 a.m.