Triple

T10194019
Position Surface form Disambiguated ID Type / Status
Subject Magneto E238113 entity
Predicate alias P39 FINISHED
Object Magnus
Magnus is the real name of Magneto, the powerful mutant supervillain and sometimes antihero from Marvel's X-Men universe.
 E846555 NE FINISHED

How this triple was built (4 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: Magnus | Statement: [Magneto, alias, Magnus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magnus
Context triple: [Magneto, alias, Magnus]
  • A. Magnus
    Magnus is the honorific cognomen meaning "the Great," famously borne by the Roman general and statesman Pompey.
  • B. Magnus
    Magnus is a character in the 1933 historical drama film "Queen Christina," which stars Greta Garbo as the Swedish monarch.
  • C. Magnus
    Magnus is the costumed Viking mascot character who represents the Minnesota Vikings NFL team at games and events.
  • D. Magnus
    Magnus is a surname of likely Scandinavian or Latin origin, shared by various notable individuals including astronaut Sandra Magnus.
  • E. Magnus Troil
    Magnus Troil is a central fictional figure in Walter Scott’s novel "The Pirate," depicted as a prominent Shetland landowner whose family and fortunes are entwined with the story’s romantic and political intrigues.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Magnus
Triple: [Magneto, alias, Magnus]
Generated description
Magnus is the real name of Magneto, the powerful mutant supervillain and sometimes antihero from Marvel's X-Men universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magnus
Target entity description: Magnus is the real name of Magneto, the powerful mutant supervillain and sometimes antihero from Marvel's X-Men universe.
  • A. Magnus
    Magnus is the honorific cognomen meaning "the Great," famously borne by the Roman general and statesman Pompey.
  • B. Magnus
    Magnus is a character in the 1933 historical drama film "Queen Christina," which stars Greta Garbo as the Swedish monarch.
  • C. Magnus
    Magnus is the costumed Viking mascot character who represents the Minnesota Vikings NFL team at games and events.
  • D. Magnus
    Magnus is a surname of likely Scandinavian or Latin origin, shared by various notable individuals including astronaut Sandra Magnus.
  • E. Magnus Troil
    Magnus Troil is a central fictional figure in Walter Scott’s novel "The Pirate," depicted as a prominent Shetland landowner whose family and fortunes are entwined with the story’s romantic and political intrigues.
  • F. None of above. chosen

Provenance (5 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317d3c1bc8190811b809aaf93a754 completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d318a95450819086cd07610de39a55 completed April 6, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69d319593c908190adc43bc2a213211f completed April 6, 2026, 2:24 a.m.
Created at: March 30, 2026, 9:13 p.m.