Triple

T2538007
Position Surface form Disambiguated ID Type / Status
Subject Maus E56316 entity
Predicate illustrator P9707 FINISHED
Object Art Spiegelman E276731 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: Art Spiegelman | Statement: [Maus, illustrator, Art Spiegelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Art Spiegelman
Context triple: [Maus, illustrator, Art Spiegelman]
  • A. Art Spiegelman chosen
    Art Spiegelman is an American cartoonist and editor best known for his Pulitzer Prize–winning graphic novel "Maus," which depicts the Holocaust through anthropomorphic characters.
  • B. Margo Roth Spiegelman
    Margo Roth Spiegelman is a mysterious, adventurous teenage girl whose disappearance drives the plot and emotional journey of John Green’s novel "Paper Towns."
  • C. Herblock
    Herblock was a renowned American political cartoonist whose sharp, influential editorial cartoons shaped public discourse throughout the mid-20th century.
  • D. Frank Miller
    Frank Miller is an American comic book writer, artist, and film director best known for his dark, stylized works such as "The Dark Knight Returns," "Sin City," and "300."
  • E. David Clowes
    David Clowes is a British businessman best known for rescuing and owning Derby County Football Club through his company Clowes Developments.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd298fc2481908b2925bf6a06532b completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af839849288190a6ddf488f3f69203 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:47 p.m.