Triple
T21360061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Kessler |
E526748
|
entity |
| Predicate | kidnappedBy |
P23387
|
FINISHED |
| Object | Ken 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: Ken Kessler | Statement: [Sandy Kessler, kidnappedBy, Ken Kessler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Kessler Context triple: [Sandy Kessler, kidnappedBy, Ken Kessler]
-
A.
Ken Kessler
chosen
Ken Kessler is a meek, put-upon businessman who becomes entangled in a chaotic kidnapping scheme in the dark comedy film "Ruthless People."
-
B.
Ken Kessler
Ken Kessler is a British hi-fi journalist and audio historian known for his writings on high-end audio equipment and the history of notable audio brands.
-
C.
Mitch Kessler
Mitch Kessler is a central fictional news anchor in the drama series "The Morning Show," whose fall from grace amid a sexual misconduct scandal drives much of the show's exploration of power and accountability in media.
-
D.
Michael Kessler
Michael Kessler is a German actor and comedian known for his work in film, television, and sketch comedy.
-
E.
Brian Kessler
Brian Kessler is a young writer and true-crime enthusiast who embarks on a cross-country road trip to research serial killers in the film "Kalifornia."
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:07 p.m.