Triple
T13738202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czarface Meets Metal Face |
E330006
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Captain Crunch |
E924408
|
NE FINISHED |
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: Captain Crunch | Statement: [Czarface Meets Metal Face, hasPart, Captain Crunch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Captain Crunch Context triple: [Czarface Meets Metal Face, hasPart, Captain Crunch]
-
A.
Cap’n Crunch
chosen
Cap’n Crunch is a cartoon sea captain mascot best known as the face of the Cap’n Crunch breakfast cereal brand.
-
B.
Le Crunch
Le Crunch is the intense and historic rugby union rivalry between the national teams of France and England.
-
C.
Fruity Pebbles
Fruity Pebbles is a brightly colored, rice-based breakfast cereal known for its fruity flavors and association with The Flintstones cartoon characters.
-
D.
Cocoa Pebbles
Cocoa Pebbles is a chocolate-flavored crispy rice breakfast cereal based on The Flintstones cartoon characters and popular for its rich cocoa taste and crunchy texture.
-
E.
Rice Krispies
Rice Krispies is a novelty song best known for its playful, percussive use of cereal sounds and humorous approach to everyday breakfast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0204d50c8190a5413cc9a1b26e14 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6bce9881909209231f6dfcf9bf |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.