Triple
T14594528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Payday |
E342523
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michael C. Gwynne |
—
|
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: Michael C. Gwynne | Statement: [Payday, starring, Michael C. Gwynne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael C. Gwynne Context triple: [Payday, starring, Michael C. Gwynne]
-
A.
Michael C. Gwynne
chosen
Michael C. Gwynne is an American actor known for his character roles in film and television, including a part in the crime thriller "The Last of the Finest."
-
B.
Gregory J. Gordon
Gregory J. Gordon is a composer and musician known for creating the score for the film "Detention."
-
C.
Stephen P. Graham
Stephen P. Graham is a distinguished member of the prominent Graham family, recognized for his professional achievements and public prominence.
-
D.
Stuart E. McGowan
Stuart E. McGowan was an American screenwriter active during Hollywood’s classic era, known for his work on Western films.
-
E.
Andrew W. Bogue
Andrew W. Bogue was a United States federal judge recognized for his service on the bench, particularly in South Dakota.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
Created at: April 10, 2026, 1:24 a.m.