Triple

T15390734
Position Surface form Disambiguated ID Type / Status
Subject Betty Suarez E368036 entity
Predicate employer P7 FINISHED
Object MODE magazine E1006460 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: MODE magazine | Statement: [Betty Suarez, employer, MODE magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MODE magazine
Context triple: [Betty Suarez, employer, MODE magazine]
  • A. Mode magazine chosen
    Mode magazine is the fictional high-fashion publication that serves as the primary workplace backdrop in the television series "Ugly Betty."
  • 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. Ms. Magazine
    Ms. Magazine is a pioneering American feminist magazine founded in the early 1970s that became a leading voice of the women’s liberation movement.
  • D. W Magazine
    W Magazine is an American fashion and culture magazine known for its high-end photography, avant-garde editorials, and in-depth coverage of style, art, and celebrity.
  • E. Essence magazine
    Essence magazine is a leading U.S. lifestyle and fashion publication primarily serving African-American women, featuring content on culture, beauty, politics, and entertainment.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7727a081908eff45bbc1633c8a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134e37d881909f373b90a99fc067 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.