Triple

T2385898
Position Surface form Disambiguated ID Type / Status
Subject Kingsman: The Golden Circle E48821 entity
Predicate screenwriter P2831 FINISHED
Object Jane Goldman E48817 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: Jane Goldman | Statement: [Kingsman: The Golden Circle, screenwriter, Jane Goldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Goldman
Context triple: [Kingsman: The Golden Circle, screenwriter, Jane Goldman]
  • A. Jane Goldman chosen
    Jane Goldman is a British screenwriter, author, and producer known for co-writing hit films such as "Kick-Ass," "X-Men: First Class," and "Kingsman: The Secret Service."
  • B. Vida Goldstein
    Vida Goldstein was an Australian suffragist, social reformer, and pacifist leader who was one of the first women in the British Empire to stand for national parliament.
  • C. Suzanne Goldberg
    Suzanne Goldberg is known as the wife of prominent 1960s Free Speech Movement leader Mario Savio.
  • D. Suzanne Goldberg
    Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
  • E. Gloria Katz
    Gloria Katz was an American screenwriter and producer best known for her collaborations with George Lucas, including work on films like "American Graffiti" and "Star Wars."
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7d8a918819089a210e74e13be6e completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3cf53088190ba42e03d2de2b36e completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.