Triple
T31701954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 39th World Series |
E809078
|
entity |
| Predicate | droppedThirdStrikePitcher |
P172887
|
FINISHED |
| Object | Hugh Casey |
—
|
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: Hugh Casey | Statement: [39th World Series, droppedThirdStrikePitcher, Hugh Casey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: droppedThirdStrikePitcher Context triple: [39th World Series, droppedThirdStrikePitcher, Hugh Casey]
-
A.
droppedThirdStrikeBatter
Indicates that a batter becomes a runner because the catcher did not securely catch the third strike.
-
B.
struckByPitcher
Indicates that one entity has been hit by a ball thrown by a pitcher.
-
C.
pitcherFacedForThirdHomeRun
Indicates that the specified pitcher is the one who was on the mound when a batter hit their third home run.
-
D.
losingPitcher
Indicates that the subject is the pitcher who was charged with the loss in a baseball game.
-
E.
game3LosingPitcher
Indicates that the subject is the pitcher who was credited with the loss in game 3 of a series or event.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 30, 2026, 11:12 p.m.