Triple
T30781028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe Ruth’s alleged called shot in Game 3 |
E783811
|
entity |
| Predicate | hasHomeRunDirection |
P189725
|
FINISHED |
| Object | center field |
—
|
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: center field | Statement: [Babe Ruth’s alleged called shot in Game 3, hasHomeRunDirection, center field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeRunDirection Context triple: [Babe Ruth’s alleged called shot in Game 3, hasHomeRunDirection, center field]
-
A.
battingSideForHomeRuns
Indicates the batting side (e.g., left-handed, right-handed, switch) from which a player hit their home runs.
-
B.
homeRunType
Indicates the specific kind of home run that was hit in a baseball play (e.g., solo, two-run, three-run, grand slam).
-
C.
homeRuns
Indicates the number of home runs a player hits, or that a specific home run event occurs, in a baseball context.
-
D.
homeRunAllowedTo
Indicates that one entity (typically a pitcher or team) has allowed a home run to another entity (typically a batter or opposing team).
-
E.
homeRunRate
Indicates the frequency at which a player or team hits home runs relative to a specified number of opportunities (such as at-bats, plate appearances, or games).
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc9d0854c8190aa00093274afebb8 |
completed | May 6, 2026, 11:08 p.m. |
Created at: April 29, 2026, 8:41 p.m.