Triple

T7602669
Position Surface form Disambiguated ID Type / Status
Subject Holbrook E180022 entity
Predicate hasNotableBearer P458 FINISHED
Object Tim Holbrook
Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
 E692264 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: Tim Holbrook | Statement: [Holbrook, hasNotableBearer, Tim Holbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tim Holbrook
Context triple: [Holbrook, hasNotableBearer, Tim Holbrook]
  • A. Mark Holbrook
    Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
  • B. Andrew Holbrook
    Andrew Holbrook is a professional mixed martial artist known for competing in major promotions such as the UFC in the lightweight division.
  • C. Sam Holbrook
    Sam Holbrook is a Major League Baseball umpire known for officiating numerous high-profile games and postseason series.
  • D. Jon Plowman
    Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
  • E. Matthew Rolph
    Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
  • 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: Tim Holbrook
Triple: [Holbrook, hasNotableBearer, Tim Holbrook]
Generated description
Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tim Holbrook
Target entity description: Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
  • A. Mark Holbrook
    Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
  • B. Andrew Holbrook
    Andrew Holbrook is a professional mixed martial artist known for competing in major promotions such as the UFC in the lightweight division.
  • C. Sam Holbrook
    Sam Holbrook is a Major League Baseball umpire known for officiating numerous high-profile games and postseason series.
  • D. Jon Plowman
    Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
  • E. Matthew Rolph
    Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
  • 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_69c6f9fa633081909660f653f5b073cd completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9fc2e796c81908e291a11f239b9fc completed March 30, 2026, 4:29 a.m.
NEDg Description generation batch_69c9fd56f1f081909e444c132f2242dc completed March 30, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_69c9fde3b13081908a1394bb76efe374 completed March 30, 2026, 4:36 a.m.
Created at: March 27, 2026, 3:54 p.m.