Triple

T8163505
Position Surface form Disambiguated ID Type / Status
Subject Leo Varadkar E190631 entity
Predicate spouse P13 FINISHED
Object Matthew Barrett
Matthew Barrett is an Irish cardiologist best known as the long-term partner of former Taoiseach and current Tánaiste Leo Varadkar.
 E730225 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: Matthew Barrett | Statement: [Leo Varadkar, spouse, Matthew Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Barrett
Context triple: [Leo Varadkar, spouse, Matthew Barrett]
  • A. Michael Barrett
    Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
  • B. James Lee Barrett
    James Lee Barrett was an American screenwriter and producer known for his work on films such as "Shenandoah," "The Greatest Story Ever Told," and "Fools' Parade."
  • C. Matthew Elliott
    Matthew Elliott is a British political strategist and campaigner best known for leading the pro-Brexit Vote Leave campaign.
  • D. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • E. Matthew McNulty
    Matthew McNulty is a British actor known for his work in film and television, including roles in series like "Misfits," "The Mill," and "Versailles."
  • 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: Matthew Barrett
Triple: [Leo Varadkar, spouse, Matthew Barrett]
Generated description
Matthew Barrett is an Irish cardiologist best known as the long-term partner of former Taoiseach and current Tánaiste Leo Varadkar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Barrett
Target entity description: Matthew Barrett is an Irish cardiologist best known as the long-term partner of former Taoiseach and current Tánaiste Leo Varadkar.
  • A. Michael Barrett
    Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
  • B. James Lee Barrett
    James Lee Barrett was an American screenwriter and producer known for his work on films such as "Shenandoah," "The Greatest Story Ever Told," and "Fools' Parade."
  • C. Matthew Elliott
    Matthew Elliott is a British political strategist and campaigner best known for leading the pro-Brexit Vote Leave campaign.
  • D. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • E. Matthew McNulty
    Matthew McNulty is a British actor known for his work in film and television, including roles in series like "Misfits," "The Mill," and "Versailles."
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4557ebc88190b4e2cab258374d23 completed March 31, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde71b7688819096b2d30a37a8a00b completed April 2, 2026, 3:48 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 5:38 p.m.