Triple

T976063
Position Surface form Disambiguated ID Type / Status
Subject Warning E21054 entity
Predicate hasPart P35 FINISHED
Object Fashion Victim
Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
 E114545 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: Fashion Victim | Statement: [Warning, hasPart, Fashion Victim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fashion Victim
Context triple: [Warning, hasPart, Fashion Victim]
  • A. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • B. Fashion Avenue
    Fashion Avenue is the nickname for Manhattan’s Seventh Avenue, a major New York City thoroughfare historically associated with the garment and fashion industry.
  • C. Glamour
    Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
  • D. HauteLook
    HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
  • E. Vestini
    The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
  • 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: Fashion Victim
Triple: [Warning, hasPart, Fashion Victim]
Generated description
Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fashion Victim
Target entity description: Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
  • A. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • B. Fashion Avenue
    Fashion Avenue is the nickname for Manhattan’s Seventh Avenue, a major New York City thoroughfare historically associated with the garment and fashion industry.
  • C. Glamour
    Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
  • D. HauteLook
    HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
  • E. Vestini
    The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46234c88190b2bfc9cafe59d7f7 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170c0fdc8190b904ca5737764f5a completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac17c2e6f48190be6fce7f279957c4 completed March 7, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac1845d6948190af8994e431ef357f completed March 7, 2026, 12:21 p.m.
Created at: March 1, 2026, 7:40 p.m.