Triple

T19543723
Position Surface form Disambiguated ID Type / Status
Subject Barbara Stanwyck as Kathy Ferguson E488980 entity
Predicate characterName P36851 FINISHED
Object Kathy Ferguson 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: Kathy Ferguson | Statement: [Barbara Stanwyck as Kathy Ferguson, characterName, Kathy Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathy Ferguson
Context triple: [Barbara Stanwyck as Kathy Ferguson, characterName, Kathy Ferguson]
  • A. Kathy Ferguson chosen
    Kathy Ferguson is the ambitious and increasingly disillusioned newspaper advice columnist at the center of the 1957 film noir "Crime of Passion," whose choices drive the story’s tragic arc.
  • B. Cathy Ferguson
    Cathy Ferguson is the wife of legendary Scottish football manager Sir Alex Ferguson and is known for her long-standing support throughout his career.
  • C. Julie Ferguson
    Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
  • D. Kathy Walsh
    Kathy Walsh is a notable individual recognized for achievements significant enough to be distinguished among others sharing the Walsh surname.
  • E. Kathy Frings
    Kathy Frings is the daughter of American playwright and screenwriter Ketti Frings.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638750b288190aecdb0e18a1add62 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.