Triple
T20474401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Basie and His Barons of Rhythm |
E502273
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Dan Minor |
—
|
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: Dan Minor | Statement: [Count Basie and His Barons of Rhythm, hasMember, Dan Minor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Minor Context triple: [Count Basie and His Barons of Rhythm, hasMember, Dan Minor]
-
A.
Dan Minor
chosen
Dan Minor was an American jazz trombonist best known for his work in prominent Kansas City swing bands during the 1920s and 1930s.
-
B.
Jean Hazlewood
Jean Hazlewood was an American screenwriter best known for her long marriage to actor Richard Widmark and her work adapting literary material for film.
-
C.
Leslie Marr
Leslie Marr was a British landscape painter and amateur racing driver known for competing in Formula One in the 1950s while pursuing a successful artistic career.
-
D.
Jo Francis
Jo Francis is a film editor best known for her work on the crime drama film "In the Valley of Elah."
-
E.
Jo Mullein
Jo Mullein is a human Green Lantern from DC Comics, known for her investigative background and role as a protector of Earth’s space sector.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e699639eec81908f8bd24877b2b876 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.