Triple
T11386771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wacky Races |
E269731
|
entity |
| Predicate | mainAntagonist |
P4675
|
FINISHED |
| Object | Muttley |
E923042
|
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: Muttley | Statement: [Wacky Races, mainAntagonist, Muttley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muttley Context triple: [Wacky Races, mainAntagonist, Muttley]
-
A.
Muttley
chosen
Muttley is a cartoon dog best known as Dick Dastardly’s snickering sidekick in Hanna-Barbera’s slapstick racing and aviation-themed series.
-
B.
Koopie Koo
Koopie Koo is a minor character in the Paper Mario series, known as Koops' affectionate and supportive Koopa girlfriend from his hometown.
-
C.
Max Goof
Max Goof is Goofy's teenage son in Disney media, known for his more grounded personality and central role in films like "A Goofy Movie."
-
D.
Pepé Le Pew
Pepé Le Pew is a romantic, overly confident skunk from the Looney Tunes cartoons, best known for his comedic, French-accented pursuit of love.
-
E.
Fat Albert
Fat Albert is a lovable, wisecracking, and overweight African-American teenager who leads a group of urban kids in the animated television series "Fat Albert and the Cosby Kids."
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc378d808190b587a044ede67e1e |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b813cfc48190a10d9b78953112ae |
completed | April 20, 2026, 5:22 a.m. |
Created at: April 8, 2026, 9:34 p.m.