Triple
T20435311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ultra Zone |
E501234
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Lucky Charms
Lucky Charms is a popular General Mills breakfast cereal known for its colorful marshmallow shapes and oat pieces.
|
E1432028
|
NE FINISHED |
How this triple was built (4 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: Lucky Charms | Statement: [The Ultra Zone, hasPart, Lucky Charms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Charms Context triple: [The Ultra Zone, hasPart, Lucky Charms]
-
A.
Rice Krispies
Rice Krispies is a novelty song best known for its playful, percussive use of cereal sounds and humorous approach to everyday breakfast.
-
B.
Cap’n Crunch
Cap’n Crunch is a cartoon sea captain mascot best known as the face of the Cap’n Crunch breakfast cereal brand.
-
C.
Frosted Flakes
Frosted Flakes is a popular sweetened cornflake breakfast cereal known for its crunchy texture and mascot Tony the Tiger.
-
D.
Fruity Pebbles
Fruity Pebbles is a brightly colored, rice-based breakfast cereal known for its fruity flavors and association with The Flintstones cartoon characters.
-
E.
Cocoa Krispies
Cocoa Krispies is a chocolate-flavored breakfast cereal made of crisped rice, known for its rich cocoa taste and signature snap, crackle, and pop.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lucky Charms Triple: [The Ultra Zone, hasPart, Lucky Charms]
Generated description
Lucky Charms is a popular General Mills breakfast cereal known for its colorful marshmallow shapes and oat pieces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucky Charms Target entity description: Lucky Charms is a popular General Mills breakfast cereal known for its colorful marshmallow shapes and oat pieces.
-
A.
Rice Krispies
Rice Krispies is a novelty song best known for its playful, percussive use of cereal sounds and humorous approach to everyday breakfast.
-
B.
Cap’n Crunch
Cap’n Crunch is a cartoon sea captain mascot best known as the face of the Cap’n Crunch breakfast cereal brand.
-
C.
Frosted Flakes
Frosted Flakes is a popular sweetened cornflake breakfast cereal known for its crunchy texture and mascot Tony the Tiger.
-
D.
Fruity Pebbles
Fruity Pebbles is a brightly colored, rice-based breakfast cereal known for its fruity flavors and association with The Flintstones cartoon characters.
-
E.
Cocoa Krispies
Cocoa Krispies is a chocolate-flavored breakfast cereal made of crisped rice, known for its rich cocoa taste and signature snap, crackle, and pop.
- F. None of above. chosen
Provenance (5 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883f978e08190b76e1aa66a529904 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0887cffdac8190a3ddaa68042f3cb0 |
completed | May 16, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088854b31c8190a0b4f55fccc228d4 |
completed | May 16, 2026, 3:08 p.m. |
Created at: April 16, 2026, 11:31 a.m.