Triple

T8035883
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Pryce E187105 entity
Predicate birthName P65 FINISHED
Object John Price
John Price is the birth name of Welsh actor Jonathan Pryce, renowned for his versatile performances in film, television, and theatre.
E708914 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: John Price | Statement: [Jonathan Pryce, birthName, John Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Price
Context triple: [Jonathan Pryce, birthName, John Price]
  • A. John Price
    John Price is a central fictional British Special Forces captain and key protagonist in the Call of Duty: Modern Warfare video game series.
  • B. Cagney Jeffords
    Cagney Jeffords is one of Terry Jeffords' young twin daughters in the television sitcom "Brooklyn Nine-Nine."
  • C. 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.
  • D. 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."
  • E. Brian Coffey
    Brian Coffey is a pseudonym used by bestselling American suspense and horror author Dean Koontz for some of his early works.
  • 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: John Price
Triple: [Jonathan Pryce, birthName, John Price]
Generated description
John Price is the birth name of Welsh actor Jonathan Pryce, renowned for his versatile performances in film, television, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Price
Target entity description: John Price is the birth name of Welsh actor Jonathan Pryce, renowned for his versatile performances in film, television, and theatre.
  • A. John Price
    John Price is a central fictional British Special Forces captain and key protagonist in the Call of Duty: Modern Warfare video game series.
  • B. Cagney Jeffords
    Cagney Jeffords is one of Terry Jeffords' young twin daughters in the television sitcom "Brooklyn Nine-Nine."
  • C. 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.
  • D. 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."
  • E. Brian Coffey
    Brian Coffey is a pseudonym used by bestselling American suspense and horror author Dean Koontz for some of his early works.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56f493908190b68e791cdbe725fa completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc5ca6efbc819082f4c643446da354 completed March 31, 2026, 11:45 p.m.
NED2 Entity disambiguation (via description) batch_69cc5d6d93f08190b17d6c7a4fad2cf0 completed March 31, 2026, 11:49 p.m.
Created at: March 30, 2026, 5:22 p.m.