Triple
T23165678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Severn |
E578705
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Daniel DeWayne Severn |
—
|
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: Daniel DeWayne Severn | Statement: [Dan Severn, fullName, Daniel DeWayne Severn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel DeWayne Severn Context triple: [Dan Severn, fullName, Daniel DeWayne Severn]
-
A.
Dan Severn
chosen
Dan Severn is an American mixed martial artist, professional wrestler, and UFC Hall of Famer known as one of the pioneering figures of early MMA.
-
B.
Trevor Albert
Trevor Albert is a film producer best known for his work on the classic comedy "Groundhog Day."
-
C.
Dwayne Rhodes
Dwayne Rhodes is known as the husband of Doralee Rhodes, a figure associated with the character popularized in the film "9 to 5."
-
D.
Duwayne Burnside
Duwayne Burnside is an American blues guitarist and singer from the famed Burnside family, known for his raw hill country blues style and collaborations with various Mississippi blues and rock acts.
-
E.
Darryl Revok
Darryl Revok is the powerful and malevolent telepathic antagonist in David Cronenberg’s science fiction horror film "Scanners."
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2bca4881909f6148d588948018 |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.