Triple
T20284701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Ramey |
E509846
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Samuel Ramey |
—
|
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: Samuel Ramey | Statement: [Samuel Ramey, name, Samuel Ramey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Ramey Context triple: [Samuel Ramey, name, Samuel Ramey]
-
A.
Samuel Ramey
chosen
Samuel Ramey is an acclaimed American bass-baritone opera singer renowned for his powerful voice and leading performances in major opera houses worldwide.
-
B.
Roger Ramey
Roger Ramey was a U.S. Air Force general best known for his role in publicly addressing and managing the military’s response to the 1947 Roswell incident.
-
C.
Gene Ramey
Gene Ramey was an American jazz double bassist known for his work in the Kansas City jazz scene and collaborations with leading swing and bebop musicians.
-
D.
Stephen Ramseur
Stephen Ramseur was a Confederate general from North Carolina during the American Civil War, noted for his rapid rise in rank and aggressive battlefield leadership.
-
E.
Davis McAlary
Davis McAlary is a fictional New Orleans DJ and musician known for his passionate advocacy of the city’s music and culture in the television series "Treme."
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67691516c81909f32b176edb6214c |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:05 a.m.