Triple
T21038410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Pearson |
E518253
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Duke Pearson |
—
|
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: Duke Pearson | Statement: [Duke Pearson, name, Duke Pearson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke Pearson Context triple: [Duke Pearson, name, Duke Pearson]
-
A.
Duke Pearson
chosen
Duke Pearson was an influential American jazz pianist, composer, and arranger known for his work as a producer and bandleader, particularly associated with the Blue Note label in the 1960s.
-
B.
Beau Hutton
Beau Hutton is a fictional up-and-coming country singer-songwriter featured prominently in the film "Country Strong."
-
C.
Gordon Benson
Gordon Benson is a founding partner of the law firm Benson & Forsyth.
-
D.
Bob Elliott
Bob Elliott was an American comedian and actor best known as one half of the radio and television comedy duo Bob and Ray.
-
E.
Jack Bicknell
Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcee13b08190a8b3372f6759cd1b |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:12 p.m.