Triple
T17513330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teenage Whore |
E426504
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Don Fleming |
—
|
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 Fleming | Statement: [Teenage Whore, producer, Don Fleming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Fleming Context triple: [Teenage Whore, producer, Don Fleming]
-
A.
Don Fleming
chosen
Don Fleming is an American musician and record producer known for his work with influential alternative and indie rock bands in the late 1980s and 1990s.
-
B.
George Shumway
George Shumway is a fictional character from the satirical comic strip "Ernie Pook's Comeek" by Lynda Barry.
-
C.
Jerry Scoggins
Jerry Scoggins was an American country and western singer best known for performing the theme song to the classic television sitcom "The Beverly Hillbillies."
-
D.
Jim McClain
Jim McClain is a writer known for creating the story for the work titled "Robots."
-
E.
George Burnett
George Burnett was a notable individual interred at El Camino Memorial Park, recognized locally for his prominence and contributions during his lifetime.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525e7330819088b9fb6d46e344cc |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.