Triple
T22379612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scoob! |
E553235
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Dynomutt |
—
|
NE NERFINISHED |
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: Dynomutt | Statement: [Scoob!, featuresCharacter, Dynomutt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dynomutt Context triple: [Scoob!, featuresCharacter, Dynomutt]
-
A.
Dynomutt, Dog Wonder
chosen
Dynomutt, Dog Wonder is a 1970s Hanna-Barbera animated television series featuring a bumbling robotic dog superhero who teams up with the Blue Falcon to fight crime.
-
B.
The Penguin
The Penguin is a deformed, crime-lord supervillain in the Batman universe, portrayed as a tragic and grotesque antagonist in the film "Batman Returns."
-
C.
Barnacle Bill
Barnacle Bill is a British comedy film directed by Charles Frend, best known for its humorous portrayal of a retired naval officer who takes over a rundown seaside pier.
-
D.
Dronkey
Dronkey is a fictional hybrid creature—half dragon, half donkey—from the Shrek film series, known as the offspring of Donkey and Dragon.
-
E.
Skipper the Penguin
Skipper the Penguin is the tough, militaristic leader of the penguin commando team from the Madagascar animated franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582afe6c819093940f9d817c64a8 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.