Triple

T13025556
Position Surface form Disambiguated ID Type / Status
Subject Magnus Paulin Ferrell E326295 entity
Predicate givenName P17 FINISHED
Object Magnus
Magnus is a given name commonly used in Scandinavian and other European countries, historically borne by kings and notable figures.
 E1016224 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: [Magnus Paulin Ferrell, givenName, Magnus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magnus
Context triple: [Magnus Paulin Ferrell, givenName, 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 a surname of likely Scandinavian or Latin origin, shared by various notable individuals including astronaut Sandra Magnus.
  • D. Magnus
    Magnus is the real name of Magneto, the powerful mutant supervillain and sometimes antihero from Marvel's X-Men universe.
  • E. Magnus
    Magnus is a character in the stage musical adaptation of Anne Rice’s "The Vampire Chronicles," serving as a pivotal figure in the origin of Lestat’s vampirism.
  • 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: [Magnus Paulin Ferrell, givenName, Magnus]
Generated description
Magnus is a given name commonly used in Scandinavian and other European countries, historically borne by kings and notable figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magnus
Target entity description: Magnus is a given name commonly used in Scandinavian and other European countries, historically borne by kings and notable figures.
  • A. Magnus
    Magnus is a surname of likely Scandinavian or Latin origin, shared by various notable individuals including astronaut Sandra Magnus.
  • B. Magnus
    Magnus is the honorific cognomen meaning "the Great," famously borne by the Roman general and statesman Pompey.
  • C. Magnus
    Magnus is the real name of Magneto, the powerful mutant supervillain and sometimes antihero from Marvel's X-Men universe.
  • D. Magnus
    Magnus is a powerful Aedric deity in The Elder Scrolls universe, revered as the god of magic and architect of the mortal plane.
  • E. Magnus
    Magnus is the costumed Viking mascot character who represents the Minnesota Vikings NFL team at games and events.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11f83d88190bc153dba75db0995 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c43bc75c8190887b8135fbc8bbb5 completed May 3, 2026, 3:42 a.m.
NED2 Entity disambiguation (via description) batch_69f6c50cf3c08190b1ef6379f1f96201 completed May 3, 2026, 3:46 a.m.
Created at: April 9, 2026, 8:53 p.m.