Triple

T12333503
Position Surface form Disambiguated ID Type / Status
Subject Blow Dry E294021 entity
Predicate producer P490 FINISHED
Object Ruth Jackson
Ruth Jackson is a film producer known for her work on the British comedy-drama movie "Blow Dry."
E978315 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: Ruth Jackson | Statement: [Blow Dry, producer, Ruth Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Jackson
Context triple: [Blow Dry, producer, Ruth Jackson]
  • A. Doris Stevens
    Doris Stevens was a prominent American suffragist, feminist leader, and author who played a major role in the women’s rights movement in the early 20th century.
  • B. Mary Louisa Jackson
    Mary Louisa Jackson was a 19th-century British woman notable as the mother of Florence Henrietta Fisher, who became a prominent figure in intellectual and social circles.
  • C. Mary Eunice Harlan
    Mary Eunice Harlan was the wife of Robert Todd Lincoln, Abraham Lincoln’s only surviving son, and a member of a prominent 19th-century American political family.
  • D. Mildred R. Buchanan
    Mildred R. Buchanan was the wife of American character actor Edgar Buchanan, known for their long marriage that lasted until his death.
  • E. Ruth P. Johnson
    Ruth P. Johnson was the wife of American character actor Elisha Cook Jr., known for his roles in classic film noir and Hollywood cinema.
  • 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: Ruth Jackson
Triple: [Blow Dry, producer, Ruth Jackson]
Generated description
Ruth Jackson is a film producer known for her work on the British comedy-drama movie "Blow Dry."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ruth Jackson
Target entity description: Ruth Jackson is a film producer known for her work on the British comedy-drama movie "Blow Dry."
  • A. Doris Stevens
    Doris Stevens was a prominent American suffragist, feminist leader, and author who played a major role in the women’s rights movement in the early 20th century.
  • B. Mary Louisa Jackson
    Mary Louisa Jackson was a 19th-century British woman notable as the mother of Florence Henrietta Fisher, who became a prominent figure in intellectual and social circles.
  • C. Mary Eunice Harlan
    Mary Eunice Harlan was the wife of Robert Todd Lincoln, Abraham Lincoln’s only surviving son, and a member of a prominent 19th-century American political family.
  • D. Mildred R. Buchanan
    Mildred R. Buchanan was the wife of American character actor Edgar Buchanan, known for their long marriage that lasted until his death.
  • E. Ruth P. Johnson
    Ruth P. Johnson was the wife of American character actor Elisha Cook Jr., known for his roles in classic film noir and Hollywood cinema.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62d0377348190b7c227cad70286ac completed May 2, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69f62dc269e88190acce761f77d44654 completed May 2, 2026, 5 p.m.
Created at: April 8, 2026, 9:53 p.m.