Triple

T14784353
Position Surface form Disambiguated ID Type / Status
Subject Baymax E347474 entity
Predicate creator P184 FINISHED
Object Marvel Comics E57939 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: Marvel Comics | Statement: [Baymax, creator, Marvel Comics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvel Comics
Context triple: [Baymax, creator, Marvel Comics]
  • A. Marvel Comics chosen
    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.
  • B. Marvel
    Marvel is a surname most prominently associated with American actress Elizabeth Marvel, known for her work in film, television, and theater.
  • 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. DC Entertainment
    DC Entertainment is a media company and subsidiary of Warner Bros. responsible for managing and developing film, television, and other adaptations of DC Comics properties.
  • E. Marvel Press
    Marvel Press is a children's and young adult book publisher that produces novels and storybooks based on Marvel's superhero characters and franchises.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0d051d9481909e6a5aab6e18b127 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.