Triple

T7602652
Position Surface form Disambiguated ID Type / Status
Subject Holbrook E180022 entity
Predicate hasNotableBearer P458 FINISHED
Object Susan Holbrook
Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
E705487 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: Susan Holbrook | Statement: [Holbrook, hasNotableBearer, Susan Holbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Holbrook
Context triple: [Holbrook, hasNotableBearer, Susan Holbrook]
  • A. Susan Wakley
    Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
  • B. Colleen Dewhurst
    Colleen Dewhurst was a Canadian-American actress renowned for her powerful stage performances and acclaimed work in film and television, particularly in Eugene O’Neill plays and the series "Anne of Green Gables."
  • C. Kathryn Morris
    Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
  • D. Kelly Roberts
    Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
  • E. Victoria Holbrook
    Victoria Holbrook is a scholar and translator best known for her influential work on Turkish literature and literary theory.
  • 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: Susan Holbrook
Triple: [Holbrook, hasNotableBearer, Susan Holbrook]
Generated description
Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Holbrook
Target entity description: Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
  • A. Susan Wakley
    Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
  • B. Colleen Dewhurst
    Colleen Dewhurst was a Canadian-American actress renowned for her powerful stage performances and acclaimed work in film and television, particularly in Eugene O’Neill plays and the series "Anne of Green Gables."
  • C. Kathryn Morris
    Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
  • D. Kelly Roberts
    Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
  • E. Victoria Holbrook
    Victoria Holbrook is a scholar and translator best known for her influential work on Turkish literature and literary theory.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9f8e7848190b44d9c16b9c95d37 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cbde8e8264819082a3954072dffd09 completed March 31, 2026, 2:47 p.m.
NEDg Description generation batch_69cc46bca04481908852425c214a4e34 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc49129e188190aaebd6a1188788d9 completed March 31, 2026, 10:22 p.m.
Created at: March 27, 2026, 3:54 p.m.