Triple
T22768053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auto Focus |
E563179
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Lyle Kessler |
—
|
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: Lyle Kessler | Statement: [Auto Focus, hasCastMember, Lyle Kessler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyle Kessler Context triple: [Auto Focus, hasCastMember, Lyle Kessler]
-
A.
Lyle Kessler
chosen
Lyle Kessler is an American playwright, screenwriter, and actor best known for his play "Orphans" and his work in film and television.
-
B.
Stephen Kessler
Stephen Kessler is an American film and television director best known for his work on comedies, including the National Lampoon’s Vegas Vacation.
-
C.
Lyle Bremser
Lyle Bremser was a longtime American sportscaster best known as the iconic radio voice of Nebraska Cornhuskers football.
-
D.
Ken Lemberger
Ken Lemberger is a film producer known for his work on the 2006 adaptation of "All the King's Men."
-
E.
Ken Kusterer
Ken Kusterer is a musician best known for his role as a member of the American psychedelic rock band Quicksilver Messenger Service.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a81d3348190b005a43a5e03d406 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:27 p.m.