Triple

T5042571
Position Surface form Disambiguated ID Type / Status
Subject Crime of Passion E113578 entity
Predicate mainCharacter P1183 FINISHED
Object Kathy Ferguson
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.
 E567853 NE FINISHED

How this triple was built (4 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: [Crime of Passion, mainCharacter, Kathy Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kathy Ferguson
Context triple: [Crime of Passion, mainCharacter, Kathy Ferguson]
  • A. 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.
  • B. Julie Ferguson
    Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
  • C. Kathy Walsh
    Kathy Walsh is a notable individual recognized for achievements significant enough to be distinguished among others sharing the Walsh surname.
  • D. Emma Ferguson
    Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
  • E. Kathryn Murphy
    Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kathy Ferguson
Triple: [Crime of Passion, mainCharacter, Kathy Ferguson]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kathy Ferguson
Target entity description: 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.
  • A. 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.
  • B. Julie Ferguson
    Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
  • C. Kathy Walsh
    Kathy Walsh is a notable individual recognized for achievements significant enough to be distinguished among others sharing the Walsh surname.
  • D. Emma Ferguson
    Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
  • E. Kathryn Murphy
    Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
  • F. None of above. chosen

Provenance (5 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73df8f7481909a8b86c4ae69aab9 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124d359ec819086420b7e00b8d630 completed March 23, 2026, 11:32 a.m.
NEDg Description generation batch_69c12605b8148190967526967a8a1231 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c126c641448190a826c213e8ab05af completed March 23, 2026, 11:40 a.m.
Created at: March 20, 2026, 1:37 p.m.