Triple
T17668031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachael Ray |
E440437
|
entity |
| Predicate | hasTelevisionShow |
P3279
|
FINISHED |
| Object | $40 a Day |
—
|
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: $40 a Day | Statement: [Rachael Ray, hasTelevisionShow, $40 a Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: $40 a Day Context triple: [Rachael Ray, hasTelevisionShow, $40 a Day]
-
A.
$40 a Day
chosen
$40 a Day is a food and travel television show in which Rachael Ray explores different cities while demonstrating how to eat three meals and snacks on a budget of forty dollars.
-
B.
Better Dayz
Better Dayz is a posthumous double album by American rapper Tupac Shakur, featuring previously unreleased and remixed tracks recorded before his death.
-
C.
Days of 49
"Days of 49" is a traditional American folk song about the California Gold Rush era, famously popularized by folk singer Bob Dylan on his album *Self Portrait*.
-
D.
From Day to Day
From Day to Day is a World War II concentration camp diary by Norwegian architect Odd Nansen, renowned for its detailed, humane portrayal of life under Nazi imprisonment.
-
E.
The Pay Day
The Pay Day is a British heist comedy film that follows a broke IT technician who is drawn into a risky data theft scheme that spirals out of control.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6723d081908eaa57eef6d70bd0 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 9:58 a.m.