Triple

T19087891
Position Surface form Disambiguated ID Type / Status
Subject EJ Johnson E467200 entity
Predicate appearanceIn P795 FINISHED
Object Fashion Police NE NERFINISHED

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: [EJ Johnson, appearanceIn, Fashion Police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fashion Police
Context triple: [EJ Johnson, appearanceIn, 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
    Fashion is a rapper and producer best known as an early member of the Queens-based hip hop group The Beatnuts.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e348c980819096667ee6e7a7f36f completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.