Triple

T10527333
Position Surface form Disambiguated ID Type / Status
Subject Cody Williams E248339 entity
Predicate relative P37 FINISHED
Object Susan Schneider Williams E343369 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: Susan Schneider Williams | Statement: [Cody Williams, relative, Susan Schneider Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Schneider Williams
Context triple: [Cody Williams, relative, Susan Schneider Williams]
  • A. Susan Schneider chosen
    Susan Schneider is an American artist and graphic designer best known as the third wife and widow of actor and comedian Robin Williams.
  • B. Carmel Schneider
    Carmel Schneider is a troubled, insecure mother seeking transformation at a mysterious wellness retreat in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers."
  • C. Catherine Schneider
    Catherine Schneider is known as a former spouse of French film director and screenwriter Roger Vadim.
  • D. Sandra Newman
    Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
  • E. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f5ec348190875c8c877e70ba4a completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b1b0de8819089e39ec76e6bdf59 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:29 p.m.