Triple

T15481965
Position Surface form Disambiguated ID Type / Status
Subject Clara Bingham E376939 entity
Predicate hasContributedTo P11675 FINISHED
Object Ms. Magazine E591016 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: Ms. Magazine | Statement: [Clara Bingham, hasContributedTo, Ms. Magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ms. Magazine
Context triple: [Clara Bingham, hasContributedTo, Ms. Magazine]
  • A. Ms. Magazine chosen
    Ms. Magazine is a pioneering American feminist magazine founded in the early 1970s that became a leading voice of the women’s liberation movement.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Woman's World
    Woman's World is a weekly American women's magazine known for its focus on health, diet, recipes, and inspirational 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0d6ef0819091623de2888a7101 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.