Triple
T17830565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall Barer |
E445241
|
entity |
| Predicate | coWriterWith |
P7870
|
FINISHED |
| Object | Dean Fuller |
—
|
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: Dean Fuller | Statement: [Marshall Barer, coWriterWith, Dean Fuller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Fuller Context triple: [Marshall Barer, coWriterWith, Dean Fuller]
-
A.
Dean Fuller
chosen
Dean Fuller is a writer best known as one of the co-authors of the book for the musical comedy "Once Upon a Mattress."
-
B.
Hank Fallon
Hank Fallon is a character in the classic 1949 film noir "White Heat," which centers on the violent life of a psychopathic gangster.
-
C.
Matt Fallon
Matt Fallon is an American heavy metal singer best known for his early involvement with bands like Skid Row and Anthrax before they rose to mainstream fame.
-
D.
Joe Mabbott
Joe Mabbott is a musician and audio engineer best known for his work with the indie supergroup Gayngs and various other alternative and hip-hop artists.
-
E.
Joe Andrews
Joe Andrews is an American musician best known as a member of the Americana string band Old Crow Medicine Show.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48917c4d88190b919a4b75aed011c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.