Triple
T23870219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Toreros baseball |
E592704
|
entity |
| Predicate | notableMLBPlayerDeveloped |
P72299
|
FINISHED |
| Object | Kris Bryant |
—
|
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: Kris Bryant | Statement: [San Diego Toreros baseball, notableMLBPlayerDeveloped, Kris Bryant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMLBPlayerDeveloped Context triple: [San Diego Toreros baseball, notableMLBPlayerDeveloped, Kris Bryant]
-
A.
notableMLBAlumni
chosen
Indicates that the subject has alumni who went on to play Major League Baseball and are considered notable.
-
B.
notablePitcher
Indicates that the subject is recognized as a distinguished or prominent pitcher in the context of baseball.
-
C.
oneOfFewMLBPlayersFrom
Indicates that a player is among a small number of Major League Baseball players originating from a specified place or group.
-
D.
madeMLBDebutFor
Indicates that a person played their first Major League Baseball game as a member of a specified team.
-
E.
roleInBaseballHistory
Indicates the specific part or contribution an entity has within the broader narrative or development of baseball history.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae7c7f081909f6224f6f8207763 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:14 p.m.