Triple
T13447989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kid Gleason |
E320534
|
entity |
| Predicate | careerPitchingWins |
P109985
|
FINISHED |
| Object | 138 |
—
|
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: 138 | Statement: [Kid Gleason, careerPitchingWins, 138]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerPitchingWins Context triple: [Kid Gleason, careerPitchingWins, 138]
-
A.
careerInningsPitched
Indicates the total number of innings a player has pitched over the course of their entire career.
-
B.
mostWinsByPitcher
Indicates that the pitcher associated with this predicate holds the highest number of recorded wins (victories) compared to all other pitchers in the relevant context.
-
C.
winningGamePitcher
Indicates that the subject is the pitcher credited with the win in a particular baseball game.
-
D.
notablePitcher
Indicates that the subject is recognized as a distinguished or prominent pitcher in the context of baseball.
-
E.
game4WinningPitcher
Indicates the relationship between a specific game and the pitcher who was credited with the win in that game.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.