Triple

T18412912
Position Surface form Disambiguated ID Type / Status
Subject Det går an E441807 entity
Predicate mainCharacter P1183 FINISHED
Object Albert
Albert is the male protagonist of the Norwegian novel "Det går an," known for his unconventional views on love, marriage, and social norms.
E1322765 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: Albert | Statement: [Det går an, mainCharacter, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert
Context triple: [Det går an, mainCharacter, Albert]
  • A. John
    John "Jack" Twyman was an American Hall of Fame professional basketball player best known for his scoring prowess with the Cincinnati Royals and his advocacy for teammate Maurice Stokes.
  • B. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • C. John
    John was the given name of John Stewart, Earl of Carrick, a Scottish nobleman of the late medieval period.
  • D. John
    John is the given name of the British civil engineer John Wolfe Barry, best known for designing London's Tower Bridge.
  • E. John
    John is the given name of John Wesley Longyear, an American politician and jurist from the 19th century.
  • 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: Albert
Triple: [Det går an, mainCharacter, Albert]
Generated description
Albert is the male protagonist of the Norwegian novel "Det går an," known for his unconventional views on love, marriage, and social norms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Albert
Target entity description: Albert is the male protagonist of the Norwegian novel "Det går an," known for his unconventional views on love, marriage, and social norms.
  • A. Albert
    Albert is a rational, steady, and respectable foil to Werther’s passionate temperament in Goethe’s novel "The Sorrows of Young Werther."
  • B. Albert
    Albert is a middle-aged divorcé portrayed by James Gandolfini in the romantic comedy film "Enough Said," where he becomes the love interest of Julia Louis-Dreyfus's character.
  • C. Albert
    Albert is the given name of the influential economist and social scientist Albert O. Hirschman.
  • D. Albert
    Albert is the given first name of American actor and singer Gordon MacRae, best known for his roles in classic film musicals like "Oklahoma!" and "Carousel."
  • E. Albert
    Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a259c1c819094e710bb4a7ace75 completed April 19, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e24be008819083d4ab019e8c66a6 completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e7a576b881908267669e3ed394cf completed May 13, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_6a03e8046c188190b860addd21ee8346 completed May 13, 2026, 2:55 a.m.
Created at: April 10, 2026, 10:47 a.m.