Triple
T14336535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney characters |
E355479
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Goofy |
E173090
|
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: Goofy | Statement: [Disney characters, notableCharacter, Goofy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goofy Context triple: [Disney characters, notableCharacter, Goofy]
-
A.
Goofy
chosen
Goofy is a tall, anthropomorphic dog and classic Disney cartoon character known for his clumsiness, distinctive laugh, and good-natured personality.
-
B.
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."
-
C.
Droopy
Droopy is a classic, deadpan cartoon dog from American animated shorts, best known for his slow, monotone delivery and unexpectedly effective antics.
-
D.
Muttley
Muttley is a cartoon dog best known as Dick Dastardly’s snickering sidekick in Hanna-Barbera’s slapstick racing and aviation-themed series.
-
E.
Woody Woodpecker
Woody Woodpecker is a classic animated cartoon character known for his manic personality, distinctive laugh, and starring role in numerous Walter Lantz and Universal Studios cartoons.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bbb672c8190b25f7046500c56e2 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 1:14 a.m.