Triple

T13508853
Position Surface form Disambiguated ID Type / Status
Subject The Accidental E321083 entity
Predicate mainCharacter P1183 FINISHED
Object Magnus
Magnus is a central fictional character in Ali Smith's novel "The Accidental," whose experiences help explore themes of guilt, transformation, and the disruptive impact of an enigmatic stranger on a family.
E1045675 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: [The Accidental, mainCharacter, Magnus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnus
Context triple: [The Accidental, mainCharacter, Magnus]
  • 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 real name of Magneto, the powerful mutant supervillain and sometimes antihero from Marvel's X-Men universe.
  • C. 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.
  • 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 a given name commonly used in Scandinavian and other European countries, historically borne by kings and notable figures.
  • 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: [The Accidental, mainCharacter, Magnus]
Generated description
Magnus is a central fictional character in Ali Smith's novel "The Accidental," whose experiences help explore themes of guilt, transformation, and the disruptive impact of an enigmatic stranger on a family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magnus
Target entity description: Magnus is a central fictional character in Ali Smith's novel "The Accidental," whose experiences help explore themes of guilt, transformation, and the disruptive impact of an enigmatic stranger on a family.
  • A. 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.
  • B. Magnus
    Magnus is a powerful Aedric deity in The Elder Scrolls universe, revered as the god of magic and architect of the mortal plane.
  • 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 character in the 1933 historical drama film "Queen Christina," which stars Greta Garbo as the Swedish monarch.
  • E. Magnus
    Magnus is a given name commonly used in Scandinavian and other European countries, historically borne by kings and notable figures.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf85a74081909eb08751fc55ce8f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548e51b881909a3384812556bc3d completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f757108e088190aeec031eccc9aca3 completed May 3, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69f757e7322c8190b0e36e8373d42ac4 completed May 3, 2026, 2:12 p.m.
Created at: April 9, 2026, 9:43 p.m.