Triple
T11987485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Myers |
E285317
|
entity |
| Predicate | teammateOf |
P2649
|
FINISHED |
| Object | Norm Charlton |
E252019
|
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: Norm Charlton | Statement: [Randy Myers, teammateOf, Norm Charlton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norm Charlton Context triple: [Randy Myers, teammateOf, Norm Charlton]
-
A.
Norm Charlton
chosen
Norm Charlton is a former Major League Baseball relief pitcher best known as one of the dominant "Nasty Boys" bullpen trio for the Cincinnati Reds during their early 1990s success.
-
B.
Leo Chapman
Leo Chapman was the first husband of prominent American suffragist and peace activist Carrie Chapman Catt.
-
C.
John Talman
John Talman was an English antiquary and art collector of the early 18th century, notable for his pioneering role in the study and preservation of historical artifacts and artworks.
-
D.
Louis Partridge
Louis Partridge is a British actor best known for his role as Viscount Tewkesbury in the Netflix mystery film "Enola Holmes."
-
E.
Rich Buckler
Rich Buckler was an American comic book artist best known for his work at Marvel and DC Comics, including notable runs on titles like Fantastic Four and Deathlok.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e391d7c8190a414cb3306bfe139 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:46 p.m.