Triple

T817167
Position Surface form Disambiguated ID Type / Status
Subject The Relapse E17673 entity
Predicate hasMainCharacter P1183 FINISHED
Object Young Fashion
Young Fashion is a central character in the work "The Relapse," around whom much of the story’s action and development revolves.
 E97130 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: Young Fashion | Statement: [The Relapse, hasMainCharacter, Young Fashion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Young Fashion
Context triple: [The Relapse, hasMainCharacter, Young Fashion]
  • A. Young
    Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
  • B. Giovinezza
    Giovinezza was the fascist-era anthem of Italy, closely associated with Benito Mussolini’s regime and its youth-centered ideology.
  • C. Junior
    Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
  • D. Twents
    Twents is a Dutch Low Saxon dialect spoken in the Twente region of the eastern Netherlands.
  • E. Young Adult
    Young Adult is a 2011 dark comedy-drama film directed by Jason Reitman and written by Diablo Cody, starring Charlize Theron as a troubled writer who returns to her hometown.
  • 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: Young Fashion
Triple: [The Relapse, hasMainCharacter, Young Fashion]
Generated description
Young Fashion is a central character in the work "The Relapse," around whom much of the story’s action and development revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Young Fashion
Target entity description: Young Fashion is a central character in the work "The Relapse," around whom much of the story’s action and development revolves.
  • A. Young
    Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
  • B. Giovinezza
    Giovinezza was the fascist-era anthem of Italy, closely associated with Benito Mussolini’s regime and its youth-centered ideology.
  • C. Junior
    Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
  • D. Twents
    Twents is a Dutch Low Saxon dialect spoken in the Twente region of the eastern Netherlands.
  • E. Young Adult
    Young Adult is a 2011 dark comedy-drama film directed by Jason Reitman and written by Diablo Cody, starring Charlize Theron as a troubled writer who returns to her hometown.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab621d2c819083f10bff4f66c482 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8d1a448190be8494fa2776615a completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78bd0a1d48190907434a17853dfb1 completed March 4, 2026, 1:33 a.m.
NED2 Entity disambiguation (via description) batch_69a78c3a57d88190a994ed44bcb2d8d1 completed March 4, 2026, 1:34 a.m.
Created at: March 1, 2026, 7:38 p.m.