Triple

T3147678
Position Surface form Disambiguated ID Type / Status
Subject E! E65801 entity
Predicate notableProgram P4 FINISHED
Object Fashion Police
Fashion Police is an American television series on the E! network that humorously critiques and comments on celebrity fashion and red carpet looks.
E331107 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 Police | Statement: [E!, notableProgram, Fashion Police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fashion Police
Context triple: [E!, notableProgram, Fashion Police]
  • A. Fashion Victim
    Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
  • 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. Vogue
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • D. HauteLook
    HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
  • E. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • 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 Police
Triple: [E!, notableProgram, Fashion Police]
Generated description
Fashion Police is an American television series on the E! network that humorously critiques and comments on celebrity fashion and red carpet looks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fashion Police
Target entity description: Fashion Police is an American television series on the E! network that humorously critiques and comments on celebrity fashion and red carpet looks.
  • A. Fashion Victim
    Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
  • 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. Vogue
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • D. HauteLook
    HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
  • E. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59a54188190a2e020fd4004d734 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f53bbc81908416272cd48af69e completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225896c4c81909e875a2d357e7bc5 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225fef06081908dcd8201def1ad95 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.