Triple
T13447990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kid Gleason |
E320534
|
entity |
| Predicate | careerPitchingLosses |
P8293
|
FINISHED |
| Object | 103 |
—
|
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: 103 | Statement: [Kid Gleason, careerPitchingLosses, 103]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerPitchingLosses Context triple: [Kid Gleason, careerPitchingLosses, 103]
-
A.
careerLosses
chosen
Indicates the total number of defeats or losses an entity has accumulated over the course of its entire career.
-
B.
careerInningsPitched
Indicates the total number of innings a player has pitched over the course of their entire career.
-
C.
careerERA
Indicates the earned run average (ERA) a pitcher maintains over the entirety of their professional career.
-
D.
losingPitcher
Indicates that the subject is the pitcher who was charged with the loss in a baseball game.
-
E.
careerWinLossRecord
Indicates the overall tally of wins and losses an entity has accumulated over the entire span of its career.
- 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_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. |
Created at: April 9, 2026, 9:41 p.m.