Triple
T1569306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Drysdale |
E33502
|
entity |
| Predicate | strikeoutsLeader |
P30679
|
FINISHED |
| Object | 1959 |
—
|
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: 1959 | Statement: [Don Drysdale, strikeoutsLeader, 1959]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strikeoutsLeader Context triple: [Don Drysdale, strikeoutsLeader, 1959]
-
A.
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.
-
B.
notablePitcher
Indicates that the subject is recognized as a distinguished or prominent pitcher in the context of baseball.
-
C.
winsLeader
Indicates that one entity achieves victory or leadership over another in a competitive or comparative context.
-
D.
losingPitcher
Indicates that the subject is the pitcher who was charged with the loss in a baseball game.
-
E.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.