Triple

T15666635
Position Surface form Disambiguated ID Type / Status
Subject Scrooge McDuck E377203 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: [Scrooge McDuck, publisher, Disney Comics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disney Comics
Context triple: [Scrooge McDuck, 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1151548190a14607e762686cb1 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a22888819092ea521bbad7bcb7 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.