Triple

T2546928
Position Surface form Disambiguated ID Type / Status
Subject Teenage Rebel E57923 entity
Predicate starring P1507 FINISHED
Object Betty Lou Keim
Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
 E291269 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 Lou Keim | Statement: [Teenage Rebel, starring, Betty Lou Keim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Betty Lou Keim
Context triple: [Teenage Rebel, starring, Betty Lou Keim]
  • A. Betty Irene Whitaker
    Betty Irene Whitaker is the wife of Intel co-founder and philanthropist Gordon E. Moore and a partner in his philanthropic endeavors.
  • B. Betty Dahl
    Betty Dahl was the wife of influential American political scientist Robert A. Dahl.
  • C. Betty Bronson
    Betty Bronson was an American film actress best known for her roles in silent and early sound films, including her iconic portrayal of Peter Pan in the 1924 adaptation.
  • D. Betty Jean Harris
    Betty Jean Harris was the longtime wife of comedian and actor Redd Foxx, with whom she shared much of his early career and personal life.
  • E. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • 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 Lou Keim
Triple: [Teenage Rebel, starring, Betty Lou Keim]
Generated description
Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Betty Lou Keim
Target entity description: Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
  • A. Betty Irene Whitaker
    Betty Irene Whitaker is the wife of Intel co-founder and philanthropist Gordon E. Moore and a partner in his philanthropic endeavors.
  • B. Betty Dahl
    Betty Dahl was the wife of influential American political scientist Robert A. Dahl.
  • C. Betty Bronson
    Betty Bronson was an American film actress best known for her roles in silent and early sound films, including her iconic portrayal of Peter Pan in the 1924 adaptation.
  • D. Betty Jean Harris
    Betty Jean Harris was the longtime wife of comedian and actor Redd Foxx, with whom she shared much of his early career and personal life.
  • E. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e5152c8190b31a5e732d0dde44 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf3b61fc8190988484bedc5b57a0 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afb0bf48a481908edc45d17dc4a25d completed March 10, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69afb12ecf208190b5f486f1b81e1dcd completed March 10, 2026, 5:50 a.m.
Created at: March 6, 2026, 9:47 p.m.