Triple

T14167456
Position Surface form Disambiguated ID Type / Status
Subject Unsane E351115 entity
Predicate castMember P1668 FINISHED
Object Polly McKie
Polly McKie is an actress known for her role in the psychological horror-thriller film "Unsane."
E1083142 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: Polly McKie | Statement: [Unsane, castMember, Polly McKie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polly McKie
Context triple: [Unsane, castMember, Polly McKie]
  • A. Lyn Murray
    Lyn Murray was a film and television composer and conductor best known for his work in mid-20th-century Hollywood, including scores for suspense and adventure films.
  • B. Sheila McKenna
    Sheila McKenna is an actress known for her role in the television film "The Josephine Baker Story."
  • C. Polly Rowles
    Polly Rowles was an American stage, film, and television actress best known for her character roles in mid-20th-century productions.
  • D. Lesley Duncan
    Lesley Duncan was a British singer-songwriter best known for her work in the late 1960s and 1970s, including collaborations with major artists like Elton John.
  • E. Susie McDonald
    Susie McDonald was one of the key plaintiffs in the landmark civil rights case Browder v. Gayle, which led to the desegregation of public buses in Montgomery, Alabama.
  • 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: Polly McKie
Triple: [Unsane, castMember, Polly McKie]
Generated description
Polly McKie is an actress known for her role in the psychological horror-thriller film "Unsane."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Polly McKie
Target entity description: Polly McKie is an actress known for her role in the psychological horror-thriller film "Unsane."
  • A. Lyn Murray
    Lyn Murray was a film and television composer and conductor best known for his work in mid-20th-century Hollywood, including scores for suspense and adventure films.
  • B. Sheila McKenna
    Sheila McKenna is an actress known for her role in the television film "The Josephine Baker Story."
  • C. Polly Rowles
    Polly Rowles was an American stage, film, and television actress best known for her character roles in mid-20th-century productions.
  • D. Lesley Duncan
    Lesley Duncan was a British singer-songwriter best known for her work in the late 1960s and 1970s, including collaborations with major artists like Elton John.
  • E. Susie McDonald
    Susie McDonald was one of the key plaintiffs in the landmark civil rights case Browder v. Gayle, which led to the desegregation of public buses in Montgomery, Alabama.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f57ad88190aeb8ee0f834bfa20 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcfdcbd53c81909a347e26b30f9c0b completed May 7, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_69fcfe9099508190bafd65d0d00129f0 completed May 7, 2026, 9:05 p.m.
Created at: April 10, 2026, 1 a.m.