Triple
T6691777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Louis Browns |
E152643
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Dizzy Dean |
E150633
|
NE 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: Dizzy Dean | Statement: [St. Louis Browns, notablePlayer, Dizzy Dean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dizzy Dean Context triple: [St. Louis Browns, notablePlayer, Dizzy Dean]
-
A.
Dizzy Dean
chosen
Dizzy Dean was a dominant Hall of Fame Major League Baseball pitcher of the 1930s, best known for his standout seasons and colorful personality.
-
B.
Mel Ott
Mel Ott was a Hall of Fame right fielder and prolific power hitter of the 1930s and 1940s, renowned for his high leg kick and as one of the era’s premier sluggers.
-
C.
Bob Feller
Bob Feller was a Hall of Fame Major League Baseball pitcher renowned for his blazing fastball and long career with the Cleveland Indians from the 1930s to the 1950s.
-
D.
Joe Garagiola
Joe Garagiola was an American Major League Baseball catcher who became a widely recognized sportscaster and television personality.
-
E.
Chuck Aule
Chuck Aule is a U.S. Marshal and the investigative partner to Teddy Daniels in the psychological thriller film "Shutter Island."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b193a8c08190a99152a8eca018e6 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b70ef88190b605c3c70a941cdb |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.