Triple
T20340521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debby Boone |
E495726
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Red Foley |
—
|
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: Red Foley | Statement: [Debby Boone, relative, Red Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Foley Context triple: [Debby Boone, relative, Red Foley]
-
A.
Red Foley
chosen
Red Foley was a pioneering American country music singer, guitarist, and radio/TV star whose smooth vocal style and gospel recordings helped shape the genre in the mid-20th century.
-
B.
Lou Frizzell
Lou Frizzell was an American character actor and voice actor known for his supporting roles in film and television during the mid-20th century.
-
C.
Faron Young
Faron Young was an American country music singer and songwriter, known for hits like "Hello Walls" and his influential role in the honky-tonk and Nashville sound eras.
-
D.
Floyd Red Crow Westerman
Floyd Red Crow Westerman was a Native American actor, musician, and activist known for his prominent roles in film and television and his advocacy for Indigenous rights.
-
E.
John Frizzell
John Frizzell is an American film and television composer known for scoring a wide range of genre films, including prominent horror and thriller titles.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6783533a881909a12311bb9c66542 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:23 a.m.