Triple
T26341370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Major League Baseball All-Star Game |
E662653
|
entity |
| Predicate | homeRunHitterAmericanLeague |
P160571
|
FINISHED |
| Object | Miguel Cabrera |
—
|
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: Miguel Cabrera | Statement: [2014 Major League Baseball All-Star Game, homeRunHitterAmericanLeague, Miguel Cabrera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRunHitterAmericanLeague Context triple: [2014 Major League Baseball All-Star Game, homeRunHitterAmericanLeague, Miguel Cabrera]
-
A.
homeRunLeaderAmericanLeague
Indicates the entity that led the American League in home runs for a given season or time period.
-
B.
battingChampionAmericanLeague
Indicates that the subject was the batting champion (had the highest batting average) in the American League for a given season.
-
C.
AmericanLeagueHits
Indicates that a player recorded one or more hits in an American League game or season.
-
D.
homeRunDerbyChampion
Indicates that the subject is the winner of a home run derby competition.
-
E.
winningHomeRunHitter
Indicates the player who hit the home run that ultimately decided the victory for their team in a game.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa2af708190a41199a1bd022ed2 |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 26, 2026, 10:39 p.m.