Triple
T34548957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topolino's Terrace – Flavors of the Riviera |
E887008
|
entity |
| Predicate | characterMealName |
P200011
|
FINISHED |
| Object |
Breakfast à la Art with Mickey & Friends
Breakfast à la Art with Mickey & Friends is a character dining experience at Walt Disney World where guests enjoy a themed breakfast with Mickey Mouse and friends in an art-inspired Riviera setting.
|
E2101294
|
NE FINISHED |
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: Breakfast à la Art with Mickey & Friends | Statement: [Topolino's Terrace – Flavors of the Riviera, characterMealName, Breakfast à la Art with Mickey & Friends]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Breakfast à la Art with Mickey & Friends Triple: [Topolino's Terrace – Flavors of the Riviera, characterMealName, Breakfast à la Art with Mickey & Friends]
Generated description
Breakfast à la Art with Mickey & Friends is a character dining experience at Walt Disney World where guests enjoy a themed breakfast with Mickey Mouse and friends in an art-inspired Riviera setting.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterMealName Context triple: [Topolino's Terrace – Flavors of the Riviera, characterMealName, Breakfast à la Art with Mickey & Friends]
-
A.
characterName
Indicates that an entity has a specific name used to identify its character.
-
B.
isFoodThemedHero
Indicates that the hero’s identity, powers, appearance, or motif is primarily based on or themed around food.
-
C.
commonMealType
Indicates that two entities share the same general category or type of meal (e.g., breakfast, lunch, dinner).
-
D.
knownForDish
Indicates that an entity is recognized or notable for preparing, serving, or being associated with a particular dish.
-
E.
characterFullName
Indicates that the predicate specifies the complete, formal name of a character.
- F. None of above. chosen
Provenance (7 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3729f7395c8190824c42c8b7f8972c |
completed | June 21, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_6a372a9fffa481909279c5fd09903e91 |
completed | June 21, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a372b3eb16c8190bd4546837763231c |
completed | June 21, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69ff6a4c32dc819097f591944bee8851 |
completed | May 9, 2026, 5:09 p.m. |
Created at: May 1, 2026, 2:02 a.m.