Triple

T21292528
Position Surface form Disambiguated ID Type / Status
Subject Katherine Waterston E524831 entity
Predicate sibling P363 FINISHED
Object Elisabeth Waterston 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: Elisabeth Waterston | Statement: [Katherine Waterston, sibling, Elisabeth Waterston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabeth Waterston
Context triple: [Katherine Waterston, sibling, Elisabeth Waterston]
  • A. Elisabeth Waterston chosen
    Elisabeth Waterston is an American actress known for her work in film, television, and theater, and as a member of the Waterston acting family.
  • B. Joanna Wellick
    Joanna Wellick is a calculating and enigmatic character from the television series "Mr. Robot," known for her cold ambition and manipulative influence over her husband Tyrell Wellick.
  • C. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • D. Kathryn Hunter
    Kathryn Hunter is a British actress and theatre director renowned for her transformative physical performances and work with companies such as the Royal Shakespeare Company and Complicité.
  • E. Margot Kerr
    Margot Kerr is the wife of NBA coach and former player Steve Kerr, known primarily for her long-standing, private support of his basketball career.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.