Triple

T2007576
Position Surface form Disambiguated ID Type / Status
Subject Swing Time E43619 entity
Predicate starring P1507 FINISHED
Object Betty Furness
Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
E292973 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: Betty Furness | Statement: [Swing Time, starring, Betty Furness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Furness
Context triple: [Swing Time, starring, Betty Furness]
  • A. Margaret Biggins
    Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
  • B. Enid Bennett
    Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
  • C. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • D. Marjorie Hood
    Marjorie Hood was the first wife of American lyricist and playwright Alan Jay Lerner, known for her marriage to the celebrated Broadway writer.
  • E. Mary Scudder
    Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
  • 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: Betty Furness
Triple: [Swing Time, starring, Betty Furness]
Generated description
Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Betty Furness
Target entity description: Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
  • A. Margaret Biggins
    Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
  • B. Enid Bennett
    Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
  • C. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • D. Marjorie Hood
    Marjorie Hood was the first wife of American lyricist and playwright Alan Jay Lerner, known for her marriage to the celebrated Broadway writer.
  • E. Mary Scudder
    Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb66209bc8190aa030b147e4d34cb completed March 10, 2026, 6:12 a.m.
NEDg Description generation batch_69afb6f35a2881908a1023908184fd60 completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb76a786081908add737721132edc completed March 10, 2026, 6:17 a.m.
Created at: March 4, 2026, 7:37 p.m.