Triple
T21958428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen Jenkins |
E542256
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Allen Jenkins |
—
|
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: Allen Jenkins | Statement: [Allen Jenkins, name, Allen Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen Jenkins Context triple: [Allen Jenkins, name, Allen Jenkins]
-
A.
Allen Jenkins
chosen
Allen Jenkins was an American character actor known for his comic supporting roles in numerous Hollywood films of the 1930s and 1940s.
-
B.
Matt Jenkins
Matt Jenkins is an American country music singer-songwriter known for his work in Nashville’s contemporary country scene.
-
C.
Ken Jenkins
Ken Jenkins is an American actor best known for his role as the irascible hospital administrator Dr. Bob Kelso on the television series "Scrubs."
-
D.
Chris Jenkins
Chris Jenkins is a film producer known for his work on the 2009 horror movie "Home."
-
E.
Gene Jenkins
Gene Jenkins is a fictional character appearing in the television series "The Continental: From the World of John Wick," which explores the criminal underworld linked to the John Wick film franchise.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244204f081909742d4fe138610d6 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 8 p.m.