Triple

T1801374
Position Surface form Disambiguated ID Type / Status
Subject Press for Time E39725 entity
Predicate starring P1507 FINISHED
Object Frances White
Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
E202332 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: Frances White | Statement: [Press for Time, starring, Frances White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances White
Context triple: [Press for Time, starring, Frances White]
  • A. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • B. 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.
  • C. Mary Holden
    Mary Holden is a character portrayed by Judy Garland in the 1940 MGM musical film "Strike Up the Band."
  • D. Bernice Layne Brown
    Bernice Layne Brown was the mother of California governor Jerry Brown and a prominent figure in California political and civic life.
  • E. Toni Cornell
    Toni Cornell is the daughter of late Soundgarden and Audioslave frontman Chris Cornell, known for her own emerging work as a singer and songwriter.
  • 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: Frances White
Triple: [Press for Time, starring, Frances White]
Generated description
Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frances White
Target entity description: Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
  • A. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • B. 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.
  • C. Mary Holden
    Mary Holden is a character portrayed by Judy Garland in the 1940 MGM musical film "Strike Up the Band."
  • D. Bernice Layne Brown
    Bernice Layne Brown was the mother of California governor Jerry Brown and a prominent figure in California political and civic life.
  • E. Toni Cornell
    Toni Cornell is the daughter of late Soundgarden and Audioslave frontman Chris Cornell, known for her own emerging work as a singer and songwriter.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656ad5d4819090e677ad137b0cd1 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5db1c7c81908c25e62dca1cb825 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb8b6d160819096dc02323049101d completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9bafd688190a66a835c6a8163e3 completed March 8, 2026, 6:02 p.m.
Created at: March 4, 2026, 7:32 p.m.