Triple

T11932674
Position Surface form Disambiguated ID Type / Status
Subject Jacob Kurtzberg E283950 entity
Predicate coCreatorOf P806 FINISHED
Object Magneto E238113 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: Magneto | Statement: [Jacob Kurtzberg, coCreatorOf, Magneto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magneto
Context triple: [Jacob Kurtzberg, coCreatorOf, Magneto]
  • A. Magneto chosen
    Magneto is a powerful Marvel Comics supervillain and occasional antihero, known as a mutant with magnetic abilities and a complex ideological rivalry with the X-Men.
  • B. Wolverine
    Wolverine is a fierce, small but powerful mammal known for its strength, tenacity, and association with toughness in sports and popular culture.
  • C. 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.
  • D. Wolverine
    Wolverine is a popular Marvel Comics mutant superhero known for his retractable adamantium claws, accelerated healing factor, and membership in the X-Men.
  • E. Mr. Sinister
    Mr. Sinister is a sinister geneticist and long-time X-Men supervillain in Marvel Comics, known for his obsession with mutant experimentation and manipulation.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4407cc2388190b0f849fbeed89ab7 completed May 1, 2026, 5:56 a.m.
Created at: April 8, 2026, 9:45 p.m.