Triple
T17644987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dressed to Kill |
E429331
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | "Cake or death" routine |
—
|
NE NERFINISHED |
How this triple was built (3 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: "Cake or death" routine | Statement: [Dressed to Kill, hasPart, "Cake or death" routine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Cake or death" routine Context triple: [Dressed to Kill, hasPart, "Cake or death" routine]
-
A.
“Capital Punishment” routine
The “Capital Punishment” routine is a darkly comedic stand-up segment by George Carlin from his special *Back in Town*, in which he satirically critiques the logic and morality of the death penalty.
-
B.
The Birthday Cake
The Birthday Cake is a 2021 crime thriller film that follows a young man drawn into his Brooklyn mob family's violent world during a memorial gathering.
-
C.
Let Them Eat Cake
Let Them Eat Cake is a British historical sitcom starring Dawn French and Jennifer Saunders, set in pre-revolutionary France and known for its sharp, irreverent humor.
-
D.
Lots of Candles, Plenty of Cake
Lots of Candles, Plenty of Cake is a reflective memoir-essay collection by Anna Quindlen that explores aging, family, friendship, and the pleasures and challenges of middle age.
-
E.
Upside Down Cake
Upside Down Cake is the internal dessert-themed codename used by Google for the Android 14 operating system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Cake or death" routine Target entity description: The "Cake or death" routine is a famous comedic bit by British stand-up comedian Eddie Izzard, featuring absurd, surreal humor about the Church of England’s supposed mildness and a mock-serious choice between cake and execution.
-
A.
“Capital Punishment” routine
The “Capital Punishment” routine is a darkly comedic stand-up segment by George Carlin from his special *Back in Town*, in which he satirically critiques the logic and morality of the death penalty.
-
B.
The Birthday Cake
The Birthday Cake is a 2021 crime thriller film that follows a young man drawn into his Brooklyn mob family's violent world during a memorial gathering.
-
C.
Let Them Eat Cake
Let Them Eat Cake is a British historical sitcom starring Dawn French and Jennifer Saunders, set in pre-revolutionary France and known for its sharp, irreverent humor.
-
D.
Lots of Candles, Plenty of Cake
Lots of Candles, Plenty of Cake is a reflective memoir-essay collection by Anna Quindlen that explores aging, family, friendship, and the pleasures and challenges of middle age.
-
E.
Upside Down Cake
Upside Down Cake is the internal dessert-themed codename used by Google for the Android 14 operating system.
- F. None of above. chosen
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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e382ba88190af19d0e3b8c8cadd |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:04 a.m.