Triple

T18073468
Position Surface form Disambiguated ID Type / Status
Subject The Black Dakotas E432491 entity
Predicate starring P1507 FINISHED
Object Fay Roope
Fay Roope was an American character actor known for his supporting roles in mid-20th-century film and television, often portraying authority figures such as judges, officers, and politicians.
E1392075 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: Fay Roope | Statement: [The Black Dakotas, starring, Fay Roope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fay Roope
Context triple: [The Black Dakotas, starring, Fay Roope]
  • A. Marjorie Boulton
    Marjorie Boulton was a British writer, educator, and prominent Esperantist best known for her influential works of Esperanto poetry, prose, and literary criticism.
  • B. Frances Rudge
    Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
  • C. Ruth Noble
    Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
  • D. Barbara Clough
    Barbara Clough was the long-time wife and partner of legendary English football manager Brian Clough, known for her supportive role throughout his career and family life.
  • E. Frances Wetherall
    Frances Wetherall is best known as the wife of British actor and producer John Loder.
  • 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: Fay Roope
Triple: [The Black Dakotas, starring, Fay Roope]
Generated description
Fay Roope was an American character actor known for his supporting roles in mid-20th-century film and television, often portraying authority figures such as judges, officers, and politicians.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fay Roope
Target entity description: Fay Roope was an American character actor known for his supporting roles in mid-20th-century film and television, often portraying authority figures such as judges, officers, and politicians.
  • A. Marjorie Boulton
    Marjorie Boulton was a British writer, educator, and prominent Esperantist best known for her influential works of Esperanto poetry, prose, and literary criticism.
  • B. Frances Rudge
    Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
  • C. Ruth Noble
    Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
  • D. Barbara Clough
    Barbara Clough was the long-time wife and partner of legendary English football manager Brian Clough, known for her supportive role throughout his career and family life.
  • E. Frances Wetherall
    Frances Wetherall is best known as the wife of British actor and producer John Loder.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4d35f088190875264a509504dc7 completed May 16, 2026, 12:05 a.m.
NEDg Description generation batch_6a07b5fa3d348190b8c7adb42097b40a completed May 16, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a07b6644d108190b21ac258ffcfba61 completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 10:26 a.m.