Triple
T15532881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1947 World Series |
E370264
|
entity |
| Predicate | game5Event |
P54832
|
FINISHED |
| Object | Cookie Lavagetto broke up Bill Bevens no-hitter with game-winning double |
—
|
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: Cookie Lavagetto broke up Bill Bevens no-hitter with game-winning double | Statement: [1947 World Series, game5Event, Cookie Lavagetto broke up Bill Bevens no-hitter with game-winning double]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: game5Event Context triple: [1947 World Series, game5Event, Cookie Lavagetto broke up Bill Bevens no-hitter with game-winning double]
-
A.
game5NotableEvent
chosen
Indicates that a notable or significant event occurred during the fifth game in a series or sequence.
-
B.
game5Status
Indicates the current state or outcome of the fifth game in a series or sequence of games.
-
C.
game6NotableEvent
Indicates that a notable event occurred during game 6 of a series or competition involving the related entities.
-
D.
game5Description
Indicates the textual description or summary associated with the fifth game in a sequence or collection of games.
-
E.
game5Venue
Indicates the venue or location where the fifth game in a series or sequence is held.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.