Triple

T3293094
Position Surface form Disambiguated ID Type / Status
Subject Hugh Laurie E69146 entity
Predicate spouse P13 FINISHED
Object Jo Green
Jo Green is a British theatre administrator best known as the longtime wife of actor and comedian Hugh Laurie.
E345295 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: Jo Green | Statement: [Hugh Laurie, spouse, Jo Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Green
Context triple: [Hugh Laurie, spouse, Jo Green]
  • A. Joan Templeman
    Joan Templeman is the longtime partner and wife of British entrepreneur Sir Richard Branson, known for her low public profile despite her association with the Virgin Group founder.
  • B. Renée Lees
    Renée Lees was the wife of prominent British philosopher A. J. Ayer.
  • C. Nina Warren
    Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
  • D. Melanie Ralston
    Melanie Ralston is a laid-back, manipulative surfer girl and stoner who becomes entangled in the criminal schemes surrounding Ordell Robbie in Quentin Tarantino’s film "Jackie Brown."
  • E. Yvonne Stevens
    Yvonne Stevens is a private individual known primarily in public records as a relative of Damien Holland.
  • 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: Jo Green
Triple: [Hugh Laurie, spouse, Jo Green]
Generated description
Jo Green is a British theatre administrator best known as the longtime wife of actor and comedian Hugh Laurie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jo Green
Target entity description: Jo Green is a British theatre administrator best known as the longtime wife of actor and comedian Hugh Laurie.
  • A. Joan Templeman
    Joan Templeman is the longtime partner and wife of British entrepreneur Sir Richard Branson, known for her low public profile despite her association with the Virgin Group founder.
  • B. Renée Lees
    Renée Lees was the wife of prominent British philosopher A. J. Ayer.
  • C. Nina Warren
    Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
  • D. Melanie Ralston
    Melanie Ralston is a laid-back, manipulative surfer girl and stoner who becomes entangled in the criminal schemes surrounding Ordell Robbie in Quentin Tarantino’s film "Jackie Brown."
  • E. Yvonne Stevens
    Yvonne Stevens is a private individual known primarily in public records as a relative of Damien Holland.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86895988190a7acaa5948b50bcd completed March 12, 2026, 4:23 p.m.
NEDg Description generation batch_69b2ec48bf888190a5eeac0aa2cc50c3 completed March 12, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecd134e88190933e52d7f1f5be2a completed March 12, 2026, 4:41 p.m.
Created at: March 8, 2026, 3:10 p.m.