Triple
T37083638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Powell (Julie & Julia character) |
E918223
|
entity |
| Predicate | usesCookbook |
P44302
|
FINISHED |
| Object | Mastering the Art of French Cooking |
—
|
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: Mastering the Art of French Cooking | Statement: [Julie Powell (Julie & Julia character), usesCookbook, Mastering the Art of French Cooking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCookbook Context triple: [Julie Powell (Julie & Julia character), usesCookbook, Mastering the Art of French Cooking]
-
A.
usesRecipeOf
chosen
Indicates that one entity prepares or creates something by following the recipe or formula originally defined or used by another entity.
-
B.
usesCookingMethod
Indicates that one entity prepares or processes another entity by applying a specific cooking technique or method.
-
C.
isCookedBy
Indicates that something has been prepared or made ready for eating through cooking by a particular agent.
-
D.
culinaryForm
Indicates the specific style, preparation method, or culinary format in which a food item or dish is presented or made.
-
E.
cooksSimilarTo
Indicates that one entity prepares or cooks food in a way that is similar to how another entity does.
- F. None of above.
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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: May 3, 2026, 4:14 p.m.