Triple
T18731373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine Cleaning |
E458041
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Rose Lorkowski |
—
|
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: Rose Lorkowski | Statement: [Sunshine Cleaning, character, Rose Lorkowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Lorkowski Context triple: [Sunshine Cleaning, character, Rose Lorkowski]
-
A.
Rose Lorkowski
chosen
Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
-
B.
Liz Cackowski
Liz Cackowski is an American comedy writer and actress known for her work on shows like Saturday Night Live and various film and television projects.
-
C.
Lorie Lassner
Lorie Lassner is known as the wife of television producer and longtime Ellen DeGeneres Show executive producer Andy Lassner.
-
D.
Loralee Czuchna
Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
-
E.
Carol Laise
Carol Laise was an American diplomat and educator who notably served as U.S. Ambassador to Nepal and later held senior positions in the U.S. State Department.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.