Triple

T7602645
Position Surface form Disambiguated ID Type / Status
Subject Holbrook E180022 entity
Predicate hasNotableBearer P458 FINISHED
Object David Holbrook
David Holbrook is a British literary critic and scholar known for his work on modernist literature, education, and cultural criticism.
E688888 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: David Holbrook | Statement: [Holbrook, hasNotableBearer, David Holbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Holbrook
Context triple: [Holbrook, hasNotableBearer, David Holbrook]
  • A. George Sowards
    George Sowards is an actor known for his role in the film "Shotgun."
  • B. Timothy Busfield
    Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
  • C. Bob Gunton
    Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
  • D. Charles Arling
    Charles Arling was a Canadian-born silent film actor active in early 20th-century American cinema.
  • E. Dylan Baker
    Dylan Baker is an American character actor known for his versatile roles in film, television, and theater, including appearances in movies like "Planes, Trains and Automobiles" and the "Spider-Man" series.
  • 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: David Holbrook
Triple: [Holbrook, hasNotableBearer, David Holbrook]
Generated description
David Holbrook is a British literary critic and scholar known for his work on modernist literature, education, and cultural criticism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Holbrook
Target entity description: David Holbrook is a British literary critic and scholar known for his work on modernist literature, education, and cultural criticism.
  • A. George Sowards
    George Sowards is an actor known for his role in the film "Shotgun."
  • B. Timothy Busfield
    Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
  • C. Bob Gunton
    Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
  • D. Charles Arling
    Charles Arling was a Canadian-born silent film actor active in early 20th-century American cinema.
  • E. Dylan Baker
    Dylan Baker is an American character actor known for his versatile roles in film, television, and theater, including appearances in movies like "Planes, Trains and Automobiles" and the "Spider-Man" series.
  • 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_69c8e575c22481908a6779f5d496bd3a completed March 29, 2026, 8:40 a.m.
NEDg Description generation batch_69c8e667a4c48190aee42aa003c4202b completed March 29, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69c8e6f7ae88819085e600a1266580d3 completed March 29, 2026, 8:46 a.m.
Created at: March 27, 2026, 3:54 p.m.