Triple
T9653185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluey |
E233384
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Snickers
Snickers is a character in the Australian animated children's series "Bluey," known as a dachshund pup who is one of Bluey's friends.
|
E812365
|
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: Snickers | Statement: [Bluey, hasCharacter, Snickers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snickers Context triple: [Bluey, hasCharacter, Snickers]
-
A.
Chips Ahoy!
Chips Ahoy! is a popular mass-produced chocolate chip cookie brand known for its crunchy texture and wide availability in supermarkets.
-
B.
Oreo
Oreo is a popular chocolate sandwich cookie with a sweet cream filling, widely recognized as one of the best-selling and most iconic cookie brands in the world.
-
C.
Cracker Jack
Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
-
D.
Chocolate Bear
Chocolate Bear is the affectionate nickname of Dr. Christopher Turk, a main character and surgeon on the television series "Scrubs."
-
E.
Cheetos
Cheetos is a popular brand of cheese-flavored puffed corn snacks known for their bright orange color and crunchy texture.
- 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: Snickers Triple: [Bluey, hasCharacter, Snickers]
Generated description
Snickers is a character in the Australian animated children's series "Bluey," known as a dachshund pup who is one of Bluey's friends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snickers Target entity description: Snickers is a character in the Australian animated children's series "Bluey," known as a dachshund pup who is one of Bluey's friends.
-
A.
Chips Ahoy!
Chips Ahoy! is a popular mass-produced chocolate chip cookie brand known for its crunchy texture and wide availability in supermarkets.
-
B.
Oreo
Oreo is a popular chocolate sandwich cookie with a sweet cream filling, widely recognized as one of the best-selling and most iconic cookie brands in the world.
-
C.
Cracker Jack
Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
-
D.
Chocolate Bear
Chocolate Bear is the affectionate nickname of Dr. Christopher Turk, a main character and surgeon on the television series "Scrubs."
-
E.
Cheetos
Cheetos is a popular brand of cheese-flavored puffed corn snacks known for their bright orange color and crunchy texture.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb26b748190bc32e2003829b0ec |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18270dee481909c8d2de1fafdaf5b |
completed | April 4, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d18324756c819089eb7edc107ed8b2 |
completed | April 4, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1856b88908190a787765e1d8f001f |
completed | April 4, 2026, 9:40 p.m. |
Created at: March 30, 2026, 8:13 p.m.