Triple

T7907975
Position Surface form Disambiguated ID Type / Status
Subject Mark Millar E183623 entity
Predicate wrote P2831 FINISHED
Object Old Man Logan (storyline) E508704 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: Old Man Logan (storyline) | Statement: [Mark Millar, wrote, Old Man Logan (storyline)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Man Logan (storyline)
Context triple: [Mark Millar, wrote, Old Man Logan (storyline)]
  • A. Old Man Logan chosen
    Old Man Logan is a popular Marvel Comics storyline set in a dystopian future where an aged Wolverine navigates a villain-ruled world after the fall of the superheroes.
  • B. LOGAN
    LOGAN is the radio callsign used by Loganair, a Scottish regional airline operating domestic and short-haul international flights.
  • C. Wolverine
    Wolverine is a popular Marvel Comics mutant superhero known for his retractable adamantium claws, accelerated healing factor, and membership in the X-Men.
  • D. Wolverine
    Wolverine is a higher-speed Amtrak passenger train service that operates multiple daily routes between Chicago, Detroit, and Pontiac in the Midwestern United States.
  • E. Wolverine
    Wolverine is a fierce, small but powerful mammal known for its strength, tenacity, and association with toughness in sports and popular culture.
  • 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_69cbdfe21f9081909d45565867ac7436 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:03 p.m.