Triple
T20616683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland Buckeyes |
E506585
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Willie Grace |
—
|
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: Willie Grace | Statement: [Cleveland Buckeyes, notablePlayer, Willie Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willie Grace Context triple: [Cleveland Buckeyes, notablePlayer, Willie Grace]
-
A.
Willie Grace
chosen
Willie Grace was a prominent Negro League baseball player best known for his time with the Cleveland Buckeyes.
-
B.
Gregory Alan Williams
Gregory Alan Williams is an American actor and author best known for his roles in film and television series such as "Baywatch" and numerous character-actor appearances.
-
C.
Ryan Wynott
Ryan Wynott is an American actor best known for his role as the young superhero-in-training Trip Faraday on the television series "The Cape."
-
D.
Willie Burton
Willie Burton is a former American basketball player best known for his standout collegiate career at the University of Minnesota and subsequent play in the NBA.
-
E.
Willie Burton
Willie Burton is a respected film sound engineer known for his work on major Hollywood productions, including the animated film "Madagascar."
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aadbb3ac81908145f57fd6a94256 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.