Triple

T20637556
Position Surface form Disambiguated ID Type / Status
Subject Emma Soames E507125 entity
Predicate employer P7 FINISHED
Object Saga magazine 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: Saga magazine | Statement: [Emma Soames, employer, Saga magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saga magazine
Context triple: [Emma Soames, employer, Saga magazine]
  • A. Saga magazine chosen
    Saga magazine is a British lifestyle and advice publication aimed primarily at people over 50, covering topics such as health, finance, travel, and retirement.
  • B. Slash magazine
    Slash magazine was an influential late-1970s Los Angeles punk fanzine that documented and helped shape the early American punk and hardcore scenes.
  • C. Sur magazine
    Sur magazine was an influential 20th-century Argentine literary journal that became a central platform for modernist and avant-garde writers in Latin America and beyond.
  • D. Penthouse magazine
    Penthouse magazine is an adult entertainment and lifestyle publication known for its explicit photography, erotic fiction, and investigative journalism.
  • E. Allure magazine
    Allure magazine is an American women’s beauty and lifestyle publication known for its coverage of cosmetics, skincare, fashion, and celebrity culture.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad1089448190b936de6fd29c8350 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.