Triple
T14359529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty |
E356059
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Creme Brulee |
E821054
|
NE FINISHED |
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: Creme Brulee | Statement: [Dirty, hasPart, Creme Brulee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creme Brulee Context triple: [Dirty, hasPart, Creme Brulee]
-
A.
crème brûlée
chosen
Crème brûlée is a classic French custard dessert topped with a thin, hard layer of caramelized sugar.
-
B.
Tiramisu
Tiramisu is a popular Italian layered dessert made with coffee-soaked ladyfingers, mascarpone cheese, and cocoa.
-
C.
tarte Tatin
Tarte Tatin is a classic French upside-down caramelized apple tart, typically made by baking apples in butter and sugar beneath a pastry crust and inverting it for serving.
-
D.
Pavlova
Pavlova is a famous Russian surname most notably associated with legendary ballerina Anna Pavlova.
-
E.
Cheese Cake
"Cheese Cake" is a bluesy hard rock song by Aerosmith from their 1979 album *Night in the Ruts*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f54bfb08190a27c0d12731acec2 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c48dd408190ac45ad4ca6f610c3 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:15 a.m.