Triple

T7948704
Position Surface form Disambiguated ID Type / Status
Subject Glamour E184558 entity
Predicate hasOnlinePresence P57 FINISHED
Object Glamour.com E184558 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: Glamour.com | Statement: [Glamour, hasOnlinePresence, Glamour.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glamour.com
Context triple: [Glamour, hasOnlinePresence, Glamour.com]
  • A. Glamour magazine chosen
    Glamour magazine is a long-running women’s lifestyle and fashion publication known for its coverage of beauty, culture, and influential women.
  • B. Cosmopolitan magazine
    Cosmopolitan magazine is a long-running American monthly publication best known for its focus on fashion, relationships, and lifestyle topics, particularly aimed at young women.
  • C. You magazine
    You magazine is a lifestyle and features supplement published with the UK’s Mail on Sunday, covering fashion, beauty, celebrity interviews, and real-life stories.
  • D. InStyle
    InStyle is a popular fashion and lifestyle magazine known for its celebrity-focused style coverage, beauty tips, and trend reports.
  • E. Woman magazine
    Woman magazine is a British weekly women's magazine featuring lifestyle, fashion, celebrity, and real-life content aimed at a broad female readership.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2bf6f48190ac7491c41045cab2 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5650cfb08190846e040f85c8369d completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5:10 p.m.