Triple

T5588809
Position Surface form Disambiguated ID Type / Status
Subject The Hudsucker Proxy E146824 entity
Predicate character P662 FINISHED
Object Amy Archer
Amy Archer is a fast-talking, sharp-witted investigative reporter in the film "The Hudsucker Proxy" who uncovers corporate corruption.
E555524 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: Amy Archer | Statement: [The Hudsucker Proxy, character, Amy Archer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Archer
Context triple: [The Hudsucker Proxy, character, Amy Archer]
  • A. Anne Archer
    Anne Archer is an American actress best known for her Academy Award–nominated role in the 1987 thriller "Fatal Attraction."
  • B. Mary Archer
    Mary Archer is a British scientist and academic, known for her work in solar energy research and for being married to novelist and former politician Jeffrey Archer.
  • C. Rosemary Woodruff
    Rosemary Woodruff was an American counterculture figure and activist best known for her involvement in the 1960s psychedelic movement alongside Timothy Leary.
  • D. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • E. Alice Delbridge
    Alice Delbridge was the first wife of American actor Ralph Bellamy, known primarily in relation to his early personal life.
  • 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: Amy Archer
Triple: [The Hudsucker Proxy, character, Amy Archer]
Generated description
Amy Archer is a fast-talking, sharp-witted investigative reporter in the film "The Hudsucker Proxy" who uncovers corporate corruption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amy Archer
Target entity description: Amy Archer is a fast-talking, sharp-witted investigative reporter in the film "The Hudsucker Proxy" who uncovers corporate corruption.
  • A. Anne Archer
    Anne Archer is an American actress best known for her Academy Award–nominated role in the 1987 thriller "Fatal Attraction."
  • B. Mary Archer
    Mary Archer is a British scientist and academic, known for her work in solar energy research and for being married to novelist and former politician Jeffrey Archer.
  • C. Rosemary Woodruff
    Rosemary Woodruff was an American counterculture figure and activist best known for her involvement in the 1960s psychedelic movement alongside Timothy Leary.
  • D. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • E. Alice Delbridge
    Alice Delbridge was the first wife of American actor Ralph Bellamy, known primarily in relation to his early personal life.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209e892c8190b936a05ef2a14d36 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf5e1fcc8190b9ab67a9cc9e1be0 completed March 23, 2026, 4:19 a.m.
NEDg Description generation batch_69c0c0ca548c81908382dbba5f440847 completed March 23, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0c19e5ef08190abe26030e24b4d91 completed March 23, 2026, 4:29 a.m.
Created at: March 22, 2026, 3:38 p.m.