Triple
T4830875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NPB All-Star Game |
E107940
|
entity |
| Predicate | homeRunDerbyType |
P60273
|
FINISHED |
| Object | pre-game event |
—
|
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: pre-game event | Statement: [NPB All-Star Game, homeRunDerbyType, pre-game event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRunDerbyType Context triple: [NPB All-Star Game, homeRunDerbyType, pre-game event]
-
A.
homeRunDerbyChampion
Indicates that the subject is the winner of a home run derby competition.
-
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.
HomeRunDerbyTitles
Indicates the number of Home Run Derby titles an entity has won in competitive baseball home run hitting contests.
-
D.
homeRuns
Indicates the number of home runs a player hits, or that a specific home run event occurs, in a baseball context.
-
E.
homeRunSeason
Indicates that an entity (typically a player) hit a specified number of home runs during a particular season.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:24 p.m.