Triple

T8163517
Position Surface form Disambiguated ID Type / Status
Subject Leo Varadkar E190631 entity
Predicate hasMother P1909 FINISHED
Object Miriam Varadkar
Miriam Varadkar is the mother of Irish politician and former Taoiseach Leo Varadkar.
E715806 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: Miriam Varadkar | Statement: [Leo Varadkar, hasMother, Miriam Varadkar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam Varadkar
Context triple: [Leo Varadkar, hasMother, Miriam Varadkar]
  • A. Michelle O’Neill
    Michelle O’Neill is an Irish republican politician from Sinn Féin who serves as First Minister of Northern Ireland and has been a prominent advocate for power-sharing and Irish unity.
  • B. Siobhán McKenna
    Siobhán McKenna was an acclaimed Irish stage and film actress renowned for her powerful performances in both classical and contemporary roles.
  • C. Leo Varadkar
    Leo Varadkar is an Irish politician who has served as Taoiseach (prime minister) of Ireland and leader of the centre-right Fine Gael party.
  • D. Louise O’Malley
    Louise O’Malley is a relative of George O’Malley, a character from the television series "Grey’s Anatomy."
  • E. Kathleen Power
    Kathleen Power is a notable individual distinguished enough in her field or public life to be recognized as a prominent bearer of the surname Power.
  • 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: Miriam Varadkar
Triple: [Leo Varadkar, hasMother, Miriam Varadkar]
Generated description
Miriam Varadkar is the mother of Irish politician and former Taoiseach Leo Varadkar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miriam Varadkar
Target entity description: Miriam Varadkar is the mother of Irish politician and former Taoiseach Leo Varadkar.
  • A. Michelle O’Neill
    Michelle O’Neill is an Irish republican politician from Sinn Féin who serves as First Minister of Northern Ireland and has been a prominent advocate for power-sharing and Irish unity.
  • B. Siobhán McKenna
    Siobhán McKenna was an acclaimed Irish stage and film actress renowned for her powerful performances in both classical and contemporary roles.
  • C. Leo Varadkar
    Leo Varadkar is an Irish politician who has served as Taoiseach (prime minister) of Ireland and leader of the centre-right Fine Gael party.
  • D. Louise O’Malley
    Louise O’Malley is a relative of George O’Malley, a character from the television series "Grey’s Anatomy."
  • E. Kathleen Power
    Kathleen Power is a notable individual distinguished enough in her field or public life to be recognized as a prominent bearer of the surname Power.
  • 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_69ccbf35000c8190ba78f69b7b1290e8 completed April 1, 2026, 6:46 a.m.
NEDg Description generation batch_69ccc311d4e8819080f4aeef8ee7dc3b completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd83115fc8190a3e276bed0a00926 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:38 p.m.