Triple
T15066671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Della Duck |
E379772
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Disney Comics |
E377205
|
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: Disney Comics | Statement: [Della Duck, publisher, Disney Comics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disney Comics Context triple: [Della Duck, publisher, Disney Comics]
-
A.
Disney Comics
chosen
Disney Comics is a publishing imprint that produces comic books and stories featuring Disney characters and franchises, including Donald Duck.
-
B.
Marvel Comics
Marvel Comics is a major American comic book publisher best known for creating the Marvel Universe, home to iconic superheroes such as Spider-Man, Iron Man, the X-Men, and Captain America.
-
C.
DC Comics
DC Comics is a major American comic book publisher best known for iconic superhero characters such as Superman, Batman, and Wonder Woman.
-
D.
Mickey Mouse comic strips
Mickey Mouse comic strips are newspaper and magazine comic series featuring Mickey Mouse and his supporting cast in humorous and adventure-filled stories.
-
E.
Dell Comics
Dell Comics was a major mid-20th-century American comic book publisher best known for its licensed adaptations of popular film, television, and cartoon properties.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeea750c819082d8823c9ab6c5a2 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7dd767c8190a129f00303f970bc |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:02 a.m.