Triple
T37083647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Powell (Julie & Julia character) |
E918223
|
entity |
| Predicate | notableDishPrepared |
—
|
GENERATED |
| Object | boeuf bourguignon |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDishPrepared Context triple: [Julie Powell (Julie & Julia character), notableDishPrepared, boeuf bourguignon]
-
A.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
B.
preparesFoodFor
Indicates that one entity makes or cooks food intended to be eaten by another entity.
-
C.
culinaryStatus
Indicates the current state or condition of something in relation to cooking or food preparation (e.g., raw, cooked, undercooked, burnt).
-
D.
intendedMeal
Indicates that one entity is the meal that another entity plans or expects to eat.
-
E.
isCookedBy
chosen
Indicates that something has been prepared or made ready for eating through cooking by a particular agent.
- F. None of above.
Provenance (1 batch)
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. |
Created at: May 3, 2026, 4:14 p.m.