Triple
T17084498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altered States |
E414559
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Eric 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: Eric Jenkins | Statement: [Altered States, editor, Eric Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Jenkins Context triple: [Altered States, editor, Eric Jenkins]
-
A.
Eric Jenkins
chosen
Eric Jenkins is a film editor known for his work on the influential 1982 teen comedy-drama "Fast Times at Ridgemont High."
-
B.
Chris Jenkins
Chris Jenkins is a film producer known for his work on the 2009 horror movie "Home."
-
C.
Greg Jenkins
Greg Jenkins is an American dermatologist best known as the husband of Olympic figure skating champion Peggy Fleming.
-
D.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
E.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe60d588190963ccd4c86af1233 |
completed | April 18, 2026, 7:30 p.m. |
Created at: April 10, 2026, 5:35 a.m.