Triple

T11621831
Position Surface form Disambiguated ID Type / Status
Subject Kelly Osbourne E275655 entity
Predicate judgeOn P3169 FINISHED
Object Fashion Police E331107 NE FINISHED

How this triple was built (2 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: [Kelly Osbourne, judgeOn, Fashion Police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fashion Police
Context triple: [Kelly Osbourne, judgeOn, Fashion Police]
  • A. Fashion Police chosen
    Fashion Police is an American television series on the E! network that humorously critiques and comments on celebrity fashion and red carpet looks.
  • B. Fashion Victim
    Fashion Victim is a 2008 British comedy film about a man whose obsession with designer clothes leads to crime and chaos.
  • C. Fashion (The Guardian)
    Fashion (The Guardian) is The Guardian’s dedicated section covering style, clothing, trends, and the fashion industry with news, features, and commentary.
  • D. 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.
  • E. Couture
    Couture is a French surname most notably borne by 19th-century painter Thomas Couture, renowned for his historical and genre scenes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13491c0c819085f4ea17ad74612a completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.