Triple

T8055927
Position Surface form Disambiguated ID Type / Status
Subject Melania Knauss E187998 entity
Predicate modeledFor P2006 FINISHED
Object GQ E184871 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: GQ | Statement: [Melania Knauss, modeledFor, GQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GQ
Context triple: [Melania Knauss, modeledFor, GQ]
  • A. GQ chosen
    GQ is a leading international men's magazine known for its coverage of fashion, culture, and style.
  • B. Esquire
    Esquire is a courtesy title traditionally used in English-speaking countries to denote a man of higher social rank or, in modern usage, a practicing lawyer in the United States.
  • C. Esquire magazine
    Esquire magazine is a long-running American men’s magazine known for its literary journalism, in-depth reporting, and stylish coverage of culture, politics, and fashion.
  • D. Runway magazine
    Runway magazine is the fictional high-fashion magazine in "The Devil Wears Prada," modeled on influential publications like Vogue and serving as the story’s glamorous yet cutthroat workplace backdrop.
  • E. Glamour magazine
    Glamour magazine is a long-running women’s lifestyle and fashion publication known for its coverage of beauty, culture, and influential women.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa16804819094926ff2ff053c80 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63d2d5008190b768e7a8b910e460 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:25 p.m.