Triple
T22670679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Thoughts |
E559908
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Don Dixon |
—
|
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: Don Dixon | Statement: [Green Thoughts, producer, Don Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Dixon Context triple: [Green Thoughts, producer, Don Dixon]
-
A.
Don Dixon
chosen
Don Dixon is an American record producer, songwriter, and musician known for his influential work in the jangle pop and alternative rock scenes, including producing early albums by R.E.M. and other notable artists.
-
B.
Ron Dixon
Ron Dixon is a former NFL wide receiver and kick returner best known for his explosive return touchdowns for the New York Giants during their run to Super Bowl XXXV.
-
C.
Ken Dixon
Ken Dixon is a Canadian entrepreneur and film industry professional best known as the husband of actress Jennifer Beals.
-
D.
Andy Dixon
Andy Dixon is the son of former Australian cricket captain Kim Hughes.
-
E.
Jon Dixon
Jon Dixon is a central character in the drama series "A Million Little Things," whose unexpected death profoundly impacts his close-knit group of friends and drives much of the show's emotional narrative.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781f946c8190add74a7dac2b1819 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.