Triple
T7742285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy Duck |
E175537
|
entity |
| Predicate | associatedWith |
P37
|
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: [Daisy Duck, associatedWith, Goofy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goofy Context triple: [Daisy Duck, associatedWith, 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.
Magoo
Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
-
D.
Mickey
Mickey is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by monstrous creatures.
-
E.
Mickey
Mickey is the nickname of Gordon "Mickey" Cochrane, a Hall of Fame American Major League Baseball catcher and manager from the early 20th century.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70387807081909546bc7c209955ef |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9009dfc288190b7e1e77a5d28e64f |
completed | March 29, 2026, 10:36 a.m. |
Created at: March 27, 2026, 4:07 p.m.