Triple
T34402465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire Bennett (Cake) |
E883017
|
entity |
| Predicate | hasFavoriteFood |
P22005
|
FINISHED |
| Object | tres leches cake |
—
|
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: tres leches cake | Statement: [Claire Bennett (Cake), hasFavoriteFood, tres leches cake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFavoriteFood Context triple: [Claire Bennett (Cake), hasFavoriteFood, tres leches cake]
-
A.
favoriteFood
chosen
Indicates that one entity has a preferred or most liked food item in relation to another entity or context.
-
B.
likesFood
Indicates that an entity has a positive preference for or enjoyment of a particular food.
-
C.
hasStapleFood
Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
-
D.
hasOwnDishes
Indicates that an entity possesses or is responsible for its own set of dishes, separate from those of others.
-
E.
hasSpecialtyFood
Indicates that an entity offers, serves, or is associated with a particular type of specialty food.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:59 a.m.