Triple

T15757724
Position Surface form Disambiguated ID Type / Status
Subject Betsy Beers E382010 entity
Predicate worksFor P5820 FINISHED
Object Shondaland E175647 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: Shondaland | Statement: [Betsy Beers, worksFor, Shondaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shondaland
Context triple: [Betsy Beers, worksFor, Shondaland]
  • A. Shondaland chosen
    Shondaland is a television production company founded by writer-producer Shonda Rhimes, best known for creating popular, character-driven drama series such as Grey’s Anatomy and Scandal.
  • B. Scandal
    Scandal is a political thriller television series created by Shonda Rhimes that follows crisis manager Olivia Pope as she navigates high-stakes scandals in Washington, D.C.
  • C. Scandal
    Scandal is a 1989 British drama film that dramatizes the real-life Profumo affair, a major 1960s political sex scandal in the United Kingdom.
  • D. Scandal
    Scandal is a 1950 Japanese drama film directed by Akira Kurosawa that critiques tabloid journalism and the invasion of privacy.
  • E. Scandal
    Scandal is a bold, sensual fragrance by Jean Paul Gaultier known for its sweet honey, gardenia, and patchouli notes and its provocative, leg-shaped bottle design.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9096d65c81908755cae83cc48e61 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.