Triple

T7547902
Position Surface form Disambiguated ID Type / Status
Subject Magnus Fiennes E178452 entity
Predicate givenName P17 FINISHED
Object Magnus
Magnus is a masculine given name of Latin origin meaning "great," historically borne by kings, saints, and notable figures across Europe.
 E212509 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 Fiennes, givenName, Magnus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magnus
Context triple: [Magnus Fiennes, 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 Gabriel
    Magnus Gabriel was a prominent 17th-century Swedish statesman and nobleman from the influential De la Gardie family.
  • D. Magnus Nolan
    Magnus Nolan is one of the children of filmmaker Christopher Nolan and producer Emma Thomas, known primarily for his connection to this prominent filmmaking family.
  • E. Magus
    Magus is a mysterious spiritual master in Paulo Coelho’s novel "Brida," guiding the protagonist through her journey of self-discovery and magical initiation.
  • 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 Fiennes, givenName, Magnus]
Generated description
Magnus is a masculine given name of Latin origin meaning "great," historically borne by kings, saints, and notable figures across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magnus
Target entity description: Magnus is a masculine given name of Latin origin meaning "great," historically borne by kings, saints, and notable figures across Europe.
  • A. Magnus chosen
    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 Gabriel
    Magnus Gabriel was a prominent 17th-century Swedish statesman and nobleman from the influential De la Gardie family.
  • D. Magnus Nolan
    Magnus Nolan is one of the children of filmmaker Christopher Nolan and producer Emma Thomas, known primarily for his connection to this prominent filmmaking family.
  • E. Magus
    Magus is a mysterious spiritual master in Paulo Coelho’s novel "Brida," guiding the protagonist through her journey of self-discovery and magical initiation.
  • F. None of above.

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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2b0de48190a854b4d4935c2254 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c85188f2648190abf2224cf272f5ac completed March 28, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69c85238850081908fc50fa9c0f6c767 completed March 28, 2026, 10:12 p.m.
Created at: March 27, 2026, 3:49 p.m.