Triple

T20949597
Position Surface form Disambiguated ID Type / Status
Subject Batman: Year One (film) E515943 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Frank Miller NE NERFINISHED

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: Frank Miller | Statement: [Batman: Year One (film), basedOnWorkBy, Frank Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Miller
Context triple: [Batman: Year One (film), basedOnWorkBy, Frank Miller]
  • A. Frank Miller
    Frank Miller was an American songwriter best known for co-writing the popular 1955 hit "Memories Are Made of This."
  • B. Frank Miller chosen
    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."
  • C. Frank A. Miller
    Frank A. Miller is an American businessman and hotelier best known as the founder and longtime operator of the historic Mission Inn in Riverside, California.
  • D. Will Eisner
    Will Eisner was a pioneering American cartoonist and graphic novelist, widely regarded as one of the most influential figures in the history of comics and sequential art.
  • E. Ed Brubaker
    Ed Brubaker is an American comic book writer best known for his acclaimed runs on titles like Captain America, Daredevil, and Criminal, where he revitalized characters through noir-influenced, character-driven storytelling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadc08148190b4ff710f94462a26 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:18 p.m.