Triple

T3285447
Position Surface form Disambiguated ID Type / Status
Subject Mike Mignola E68970 entity
Predicate familyName P18 FINISHED
Object Mignola E68970 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: Mignola | Statement: [Mike Mignola, familyName, Mignola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mignola
Context triple: [Mike Mignola, familyName, Mignola]
  • A. Mike Mignola chosen
    Mike Mignola is an American comic book artist and writer best known for creating the dark, folklore-infused Hellboy universe and for his distinctive, shadow-heavy visual style.
  • B. Steve Niles
    Steve Niles is an American comic book writer and novelist best known for his influential horror work, including co-creating the vampire series "30 Days of Night."
  • C. 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."
  • D. Gaiman
    Gaiman is a small town in Argentina’s Chubut Province, known for its strong Welsh heritage, traditional tea houses, and distinctive Patagonian landscape.
  • E. Warren Ellis
    Warren Ellis is an Australian musician and composer best known for his work with Nick Cave and the Bad Seeds and for scoring numerous acclaimed films.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb03918c48190987d7cfd3bda9716 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3cd5f508190ac5abc2dcdf0957d completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.