Triple
T19781778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Paul Scofield |
E475152
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Scofield |
—
|
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: Scofield | Statement: [David Paul Scofield, familyName, Scofield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scofield Context triple: [David Paul Scofield, familyName, Scofield]
-
A.
Scofield
chosen
Scofield is the surname of Michael Scofield, the brilliant structural engineer and central protagonist of the television series "Prison Break."
-
B.
Scofield May
Scofield May is a fictional character from the television drama series "Greenleaf," which explores the secrets and scandals of a powerful Memphis megachurch family.
-
C.
Gideon Barnes
Gideon Barnes was an early settler and prominent local figure after whom the city of Barnesville, Georgia, was named.
-
D.
Ed Gentry
Ed Gentry is one of the main protagonists in James Dickey’s novel and the film "Deliverance," a suburban businessman whose harrowing canoe trip through the Georgia wilderness forces him into a brutal struggle for survival and self-discovery.
-
E.
John Quinn
John Quinn is a television producer best known for his executive production work on the travel documentary series "Great American Railroad Journeys."
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653846a248190adc4afe0dc29a402 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.