Triple

T20620510
Position Surface form Disambiguated ID Type / Status
Subject Step Up E506685 entity
Predicate starring P1507 FINISHED
Object Rachel Griffiths 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: Rachel Griffiths | Statement: [Step Up, starring, Rachel Griffiths]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Griffiths
Context triple: [Step Up, starring, Rachel Griffiths]
  • A. Rachel Griffiths chosen
    Rachel Griffiths is an Australian actress known for her acclaimed film and television work, including prominent roles in projects like "Muriel's Wedding," "Hilary and Jackie," and the HBO drama "Six Feet Under."
  • B. Claire Jackman
    Claire Jackman is a fictional character portrayed by actress Gina Bellman, known from her work in British television and film.
  • C. Ruth Grant
    Ruth Grant is the daughter of British thriller novelist Lee Child, known for his Jack Reacher series.
  • D. Suzanne Mackie
    Suzanne Mackie is a British television and film producer known for her work on acclaimed projects such as "The Crown" and other high-profile UK dramas.
  • E. Frances Kirwan
    Frances Kirwan is a prominent British mathematician known for her influential work in algebraic and symplectic geometry and for serving as the first female Savilian Professor of Geometry at the University of Oxford.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe19ca481908c896bec49a025cd completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.