Triple

T1584686
Position Surface form Disambiguated ID Type / Status
Subject Mary Therese Winifred Bourke E34037 entity
Predicate alsoKnownAs P39 FINISHED
Object Mary Robinson E5167 NE FINISHED

How this triple was built (2 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: Mary Robinson | Statement: [Mary Therese Winifred Bourke, alsoKnownAs, Mary Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Robinson
Context triple: [Mary Therese Winifred Bourke, alsoKnownAs, Mary Robinson]
  • A. Mary Robinson chosen
    Mary Robinson is an Irish lawyer and politician who served as the first female President of Ireland and later as United Nations High Commissioner for Human Rights, renowned globally for her advocacy on human rights and social justice.
  • B. Mary McAleese
    Mary McAleese is an Irish politician and academic who served as the eighth President of Ireland from 1997 to 2011.
  • C. Siobhán McKenna
    Siobhán McKenna was an acclaimed Irish stage and film actress renowned for her powerful performances in both classical and contemporary roles.
  • D. Hilary Callaghan
    Hilary Callaghan is a British mathematician known for her work in probability theory and as the daughter of former UK Prime Minister James Callaghan.
  • E. Martha Lane Fox
    Martha Lane Fox is a British entrepreneur, co-founder of Lastminute.com, and crossbench peer known for her leadership in digital inclusion and technology policy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908f240708190a76bb642fc6a6f42 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad680b40908190acf505992848dae9 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:27 p.m.