Triple

T13542509
Position Surface form Disambiguated ID Type / Status
Subject Buck Privates E323423 entity
Predicate starring P1507 FINISHED
Object Jane Frazee
Jane Frazee was an American actress and singer best known for her roles in 1940s musical comedies and wartime films.
E1046378 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: Jane Frazee | Statement: [Buck Privates, starring, Jane Frazee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Frazee
Context triple: [Buck Privates, starring, Jane Frazee]
  • A. Beth Ehlers
    Beth Ehlers is an American actress best known for her long-running role as Harley Cooper on the daytime soap opera "Guiding Light."
  • B. Hannah Pingree
    Hannah Pingree is an American politician from Maine who has served as Speaker of the Maine House of Representatives and is the daughter of U.S. Representative Chellie Pingree.
  • C. Connie Snyder
    Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
  • D. Coleen Rowley
    Coleen Rowley is a former FBI special agent and whistleblower known for exposing intelligence failures prior to the September 11 attacks.
  • E. Maureen Beattie
    Maureen Beattie is a Scottish actress known for her extensive work in television, theatre, and film, including roles in British dramas and comedies.
  • 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: Jane Frazee
Triple: [Buck Privates, starring, Jane Frazee]
Generated description
Jane Frazee was an American actress and singer best known for her roles in 1940s musical comedies and wartime films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jane Frazee
Target entity description: Jane Frazee was an American actress and singer best known for her roles in 1940s musical comedies and wartime films.
  • A. Beth Ehlers
    Beth Ehlers is an American actress best known for her long-running role as Harley Cooper on the daytime soap opera "Guiding Light."
  • B. Hannah Pingree
    Hannah Pingree is an American politician from Maine who has served as Speaker of the Maine House of Representatives and is the daughter of U.S. Representative Chellie Pingree.
  • C. Connie Snyder
    Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
  • D. Coleen Rowley
    Coleen Rowley is a former FBI special agent and whistleblower known for exposing intelligence failures prior to the September 11 attacks.
  • E. Maureen Beattie
    Maureen Beattie is a Scottish actress known for her extensive work in television, theatre, and film, including roles in British dramas and comedies.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f2c645481909c3e5ecdd239965d completed May 3, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f75f8e9b608190830ab942098a798c completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:45 p.m.