Triple

T7908003
Position Surface form Disambiguated ID Type / Status
Subject Mark Millar E183623 entity
Predicate influencedBy P9 FINISHED
Object Frank Miller E225274 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: Frank Miller | Statement: [Mark Millar, influencedBy, Frank Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Miller
Context triple: [Mark Millar, influencedBy, Frank Miller]
  • A. 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."
  • B. 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.
  • C. Richard Sale
    Richard Sale was an American screenwriter, novelist, and film director active in mid-20th-century Hollywood.
  • D. Brian Azzarello
    Brian Azzarello is an American comic book writer best known for his gritty, noir-influenced work on series such as 100 Bullets and numerous titles for DC and its Vertigo imprint.
  • E. Alan Moore
    Alan Moore is a British comic book writer and novelist renowned for groundbreaking works such as "Watchmen," "V for Vendetta," and "From Hell," which revolutionized the graphic novel medium.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a59de00819099f1ce02bb469e75 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bd0024c81909679a45612bcb1a7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:03 p.m.