Triple

T20698317
Position Surface form Disambiguated ID Type / Status
Subject Brotherhood of Evil Mutants E508711 entity
Predicate founder P104 FINISHED
Object Magneto 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: Magneto | Statement: [Brotherhood of Evil Mutants, founder, Magneto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magneto
Context triple: [Brotherhood of Evil Mutants, founder, 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 (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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c1132178819081086e085f7b3ff8 completed April 21, 2026, 12:13 a.m.
Created at: April 16, 2026, 12:11 p.m.