Triple
T22282779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drift Fence |
E550776
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Jack Ingram |
—
|
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: Jack Ingram | Statement: [Drift Fence, hasCastMember, Jack Ingram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Ingram Context triple: [Drift Fence, hasCastMember, Jack Ingram]
-
A.
Jack Ingram
chosen
Jack Ingram was an American character actor best known for his prolific work in Western films and serials during the mid-20th century.
-
B.
Jack Ingram
Jack Ingram is an American country music singer-songwriter known for his Texas country roots and several charting singles in the 2000s.
-
C.
Lee Brice
Lee Brice is an American country music singer-songwriter known for hits like "Love Like Crazy" and "I Don't Dance."
-
D.
Dylan Scott
Dylan Scott is an American country music singer and songwriter known for hits like "My Girl" and "Hooked."
-
E.
Brett Eldredge
Brett Eldredge is an American country music singer and songwriter known for his smooth baritone voice and popular hits as well as his modern Christmas recordings.
- 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.