Triple

T15035495
Position Surface form Disambiguated ID Type / Status
Subject Doctor Who Magazine E378468 entity
Predicate formerPublisher P2361 FINISHED
Object Marvel UK E378469 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 UK | Statement: [Doctor Who Magazine, formerPublisher, Marvel UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvel UK
Context triple: [Doctor Who Magazine, formerPublisher, Marvel UK]
  • A. Marvel UK chosen
    Marvel UK was the British publishing imprint of Marvel Comics, best known for producing localized and original comic content, including licensed series such as Doctor Who.
  • B. Marvel
    Marvel is a surname most prominently associated with American actress Elizabeth Marvel, known for her work in film, television, and theater.
  • C. 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.
  • D. 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.
  • E. Marvel Knights
    Marvel Knights is a Marvel Comics imprint known for publishing darker, more mature, and often creator-driven takes on popular Marvel characters.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9ddfc13481909333690016650410 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.