Triple

T9627193
Position Surface form Disambiguated ID Type / Status
Subject Alan Moore E232498 entity
Predicate employer P7 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: [Alan Moore, employer, Marvel UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvel UK
Context triple: [Alan Moore, employer, 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 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. Marvel Knights
    Marvel Knights is a Marvel Comics imprint known for publishing darker, more mature, and often creator-driven takes on popular Marvel characters.
  • D. Epic Comics
    Epic Comics was a Marvel Comics imprint known for publishing creator-owned and more mature, experimental titles outside the mainstream superhero line.
  • E. Marvel Universe
    The Marvel Universe is a vast fictional shared setting created by Marvel Comics, featuring interconnected stories about superheroes, villains, and cosmic entities across comics, films, and other media.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9afc9144819084b208c3d04174ba completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1798129dc819090a29efcbcf34b8e completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.