Triple
T22282777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drift Fence |
E550776
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | George Sowards |
—
|
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: George Sowards | Statement: [Drift Fence, hasCastMember, George Sowards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Sowards Context triple: [Drift Fence, hasCastMember, George Sowards]
-
A.
George Sowards
chosen
George Sowards is an actor known for his role in the film "Shotgun."
-
B.
David Holbrook
David Holbrook is a British literary critic and scholar known for his work on modernist literature, education, and cultural criticism.
-
C.
Dylan Baker
Dylan Baker is an American character actor known for his versatile roles in film, television, and theater, including appearances in movies like "Planes, Trains and Automobiles" and the "Spider-Man" series.
-
D.
Shea Whigham
Shea Whigham is an American character actor known for his intense, often gritty supporting roles in film and television, including prominent parts in series like "Boardwalk Empire" and numerous acclaimed movies.
-
E.
Timothy Busfield
Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eacd6cc8190812c6f672641050e |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.