Triple

T11236687
Position Surface form Disambiguated ID Type / Status
Subject Bronson E265957 entity
Predicate starring P1507 FINISHED
Object Juliet Oldfield
Juliet Oldfield is a British actress best known for her roles in gritty independent films and television dramas.
E913246 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: Juliet Oldfield | Statement: [Bronson, starring, Juliet Oldfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliet Oldfield
Context triple: [Bronson, starring, Juliet Oldfield]
  • A. Kathryn Beaumont
    Kathryn Beaumont is a British-American actress and schoolteacher best known for providing the voice and live-action reference for Alice in Disney’s animated film "Alice in Wonderland" and Wendy in "Peter Pan."
  • B. Karen Morley
    Karen Morley was an American film actress of the 1930s, best known for her roles in pre-Code Hollywood crime dramas and social-themed films.
  • C. Mary Chilton
    Mary Chilton was a Mayflower passenger traditionally believed to be the first European woman to step ashore at Plymouth, later settling in Boston.
  • D. Sarah Etheridge
    Sarah Etheridge was the wife of prominent American financier and U.S. Secretary of the Treasury Lyman J. Gage.
  • E. Juliet Colman
    Juliet Colman is the daughter of acclaimed English actor Ronald Colman.
  • 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: Juliet Oldfield
Triple: [Bronson, starring, Juliet Oldfield]
Generated description
Juliet Oldfield is a British actress best known for her roles in gritty independent films and television dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Juliet Oldfield
Target entity description: Juliet Oldfield is a British actress best known for her roles in gritty independent films and television dramas.
  • A. Kathryn Beaumont
    Kathryn Beaumont is a British-American actress and schoolteacher best known for providing the voice and live-action reference for Alice in Disney’s animated film "Alice in Wonderland" and Wendy in "Peter Pan."
  • B. Karen Morley
    Karen Morley was an American film actress of the 1930s, best known for her roles in pre-Code Hollywood crime dramas and social-themed films.
  • C. Mary Chilton
    Mary Chilton was a Mayflower passenger traditionally believed to be the first European woman to step ashore at Plymouth, later settling in Boston.
  • D. Sarah Etheridge
    Sarah Etheridge was the wife of prominent American financier and U.S. Secretary of the Treasury Lyman J. Gage.
  • E. Juliet Colman
    Juliet Colman is the daughter of acclaimed English actor Ronald Colman.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12dd658819085c25d3edac2d66c completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3e05b488190bf2e3810ba2f250e completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.