Triple

T13163661
Position Surface form Disambiguated ID Type / Status
Subject Liza Elliott E312789 entity
Predicate isEditorOf P35804 FINISHED
Object Allure magazine E1024138 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: Allure magazine | Statement: [Liza Elliott, isEditorOf, Allure magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allure magazine
Context triple: [Liza Elliott, isEditorOf, Allure magazine]
  • A. Allure magazine chosen
    Allure magazine is an American women’s beauty and lifestyle publication known for its coverage of cosmetics, skincare, fashion, and celebrity culture.
  • B. Glamour magazine
    Glamour magazine is a long-running women’s lifestyle and fashion publication known for its coverage of beauty, culture, and influential women.
  • C. 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.
  • D. Penthouse magazine
    Penthouse magazine is an adult entertainment and lifestyle publication known for its explicit photography, erotic fiction, and investigative journalism.
  • E. 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.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0bf5a48190bf245dceee24b579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5e22458819097dc8d6708df5284 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:13 p.m.