Triple

T6524805
Position Surface form Disambiguated ID Type / Status
Subject Dean Koontz E151275 entity
Predicate hasPseudonym P3799 FINISHED
Object Brian Coffey
Brian Coffey is a pseudonym used by bestselling American suspense and horror author Dean Koontz for some of his early works.
E605104 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: Brian Coffey | Statement: [Dean Koontz, hasPseudonym, Brian Coffey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Coffey
Context triple: [Dean Koontz, hasPseudonym, Brian Coffey]
  • A. Bob Bennett
    Bob Bennett was a prominent American college baseball coach best known for his long and successful tenure leading the Fresno State Bulldogs.
  • B. Jeff Cheney
    Jeff Cheney is an American politician and businessman who serves as the mayor of the rapidly growing city of Frisco, Texas.
  • C. Kay Kirkpatrick Inhofe
    Kay Kirkpatrick Inhofe is the wife of the late U.S. Senator Jim Inhofe and a member of the prominent Oklahoma political family.
  • D. Max Baucus
    Max Baucus is an American Democratic politician who served for decades as a U.S. Senator from Montana and later as U.S. Ambassador to China.
  • E. Don Roberts
    Don Roberts is a software engineer and author known for his contributions to object-oriented design and refactoring, including work on the influential book "Refactoring: Improving the Design of Existing Code."
  • 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: Brian Coffey
Triple: [Dean Koontz, hasPseudonym, Brian Coffey]
Generated description
Brian Coffey is a pseudonym used by bestselling American suspense and horror author Dean Koontz for some of his early works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Coffey
Target entity description: Brian Coffey is a pseudonym used by bestselling American suspense and horror author Dean Koontz for some of his early works.
  • A. Bob Bennett
    Bob Bennett was a prominent American college baseball coach best known for his long and successful tenure leading the Fresno State Bulldogs.
  • B. Jeff Cheney
    Jeff Cheney is an American politician and businessman who serves as the mayor of the rapidly growing city of Frisco, Texas.
  • C. Kay Kirkpatrick Inhofe
    Kay Kirkpatrick Inhofe is the wife of the late U.S. Senator Jim Inhofe and a member of the prominent Oklahoma political family.
  • D. Max Baucus
    Max Baucus is an American Democratic politician who served for decades as a U.S. Senator from Montana and later as U.S. Ambassador to China.
  • E. Don Roberts
    Don Roberts is a software engineer and author known for his contributions to object-oriented design and refactoring, including work on the influential book "Refactoring: Improving the Design of Existing Code."
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9831f88190a2b64cf6bc8c9a11 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52372d08190a98c611dabc27c85 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6d9af148190ad9cd2cc31a70bb7 completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d98506b88190aae3b4d887744648 completed March 27, 2026, 7:24 p.m.
Created at: March 27, 2026, 1:45 p.m.