Triple
T20996626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Sobotka |
E517165
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Killer’s Kiss |
—
|
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: Killer’s Kiss | Statement: [Ruth Sobotka, workedOn, Killer’s Kiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Killer’s Kiss Context triple: [Ruth Sobotka, workedOn, Killer’s Kiss]
-
A.
Killer’s Kiss
chosen
Killer’s Kiss is a 1955 low-budget film noir drama and one of Stanley Kubrick’s early feature films, noted for its gritty New York City setting and experimental visual style.
-
B.
The Death Kiss
The Death Kiss is a 1932 pre-Code mystery film best known for reuniting several stars of the original Dracula in a story about a murder on a movie set.
-
C.
Kiss of Death
Kiss of Death is a 1947 American film noir crime drama best known for its gritty realism and Richard Widmark’s chilling debut performance as a sadistic villain.
-
D.
Kiss of Death
"Kiss of Death" is a 2006 studio album by the British heavy metal band Motörhead, known for its aggressive sound and hard-rocking tracks.
-
E.
A Love to Kill
A Love to Kill is a South Korean television drama series starring Rain as a troubled fighter who seeks revenge but becomes entangled in a tragic love story.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc21838081909872eed21bc12a08 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.