Triple
T10470066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peppa Pig |
E246900
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Danny Dog
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
|
E864600
|
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: Danny Dog | Statement: [Peppa Pig, hasCharacter, Danny Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Dog Context triple: [Peppa Pig, hasCharacter, Danny Dog]
-
A.
Duke Dog
Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
-
B.
Chico the Chihuahua
Chico the Chihuahua is the lively, costumed canine mascot of the El Paso Chihuahuas minor league baseball team, known for entertaining fans at games and community events.
-
C.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
D.
Jake the Dog
Jake the Dog is a magical, shape-shifting dog and one of the two main protagonists of the animated television series Adventure Time.
-
E.
Piper the Dog
Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
- 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: Danny Dog Triple: [Peppa Pig, hasCharacter, Danny Dog]
Generated description
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Dog Target entity description: Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
-
A.
Duke Dog
Duke Dog is the costumed canine mascot that represents James Madison University at its athletic events and campus activities.
-
B.
Chico the Chihuahua
Chico the Chihuahua is the lively, costumed canine mascot of the El Paso Chihuahuas minor league baseball team, known for entertaining fans at games and community events.
-
C.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
D.
Jake the Dog
Jake the Dog is a magical, shape-shifting dog and one of the two main protagonists of the animated television series Adventure Time.
-
E.
Piper the Dog
Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ffdfd988190a37b3444d096e678 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a166404881909c28141fefea2936 |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:20 p.m.