Triple
T22664241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal Expos |
E559740
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Gary Carter |
—
|
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: Gary Carter | Statement: [Montreal Expos, notablePlayer, Gary Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Carter Context triple: [Montreal Expos, notablePlayer, Gary Carter]
-
A.
Gary Carter
chosen
Gary Carter was a Hall of Fame Major League Baseball catcher, best known for his starring role with the Montreal Expos and New York Mets and his leadership on the Mets’ 1986 World Series championship team.
-
B.
Tim Raines
Tim Raines is a Hall of Fame Major League Baseball outfielder renowned as one of the greatest base stealers and leadoff hitters in the sport’s history.
-
C.
Troy Worrell
Troy Worrell is a video game industry figure best known as the founder of the development studio Interplay Productions.
-
D.
Billy Williams
Billy Williams is a Hall of Fame left fielder best known for his long, productive career with the Chicago Cubs during the 1960s and 1970s.
-
E.
Billy Williams
Billy Williams is an acclaimed British cinematographer best known for his Oscar-winning work on films such as "Gandhi" and his influential contributions to visual storytelling in cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.