Triple

T13516121
Position Surface form Disambiguated ID Type / Status
Subject In the Cut E322763 entity
Predicate screenwriter P2831 FINISHED
Object Susanna Moore E1048464 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: Susanna Moore | Statement: [In the Cut, screenwriter, Susanna Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susanna Moore
Context triple: [In the Cut, screenwriter, Susanna Moore]
  • A. Susanna Moore chosen
    Susanna Moore is an American novelist and screenwriter best known for her psychologically intense literary fiction, including the novel "In the Cut."
  • B. Suzanne Chase
    Suzanne Chase is known as the former wife of American comedian and actor Chevy Chase.
  • C. Susanna Neale
    Susanna Neale was a member of the Neale family, known primarily as the sister of American Catholic bishop Leonard Neale.
  • D. Susanna Clark
    Susanna Clark is an American songwriter best known for her influential work in country music, including co-writing songs recorded by artists like Emmylou Harris and Willie Nelson.
  • E. Susanna Wilson
    Susanna Wilson is the daughter of Frances Perkins, the first female U.S. Secretary of Labor and a key architect of New Deal labor reforms.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8239c481909faf5a9c403b55f2 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:44 p.m.