Triple

T7691452
Position Surface form Disambiguated ID Type / Status
Subject Michael D. Higgins E174255 entity
Predicate name P16 FINISHED
Object Michael D. Higgins E174255 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: Michael D. Higgins | Statement: [Michael D. Higgins, name, Michael D. Higgins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael D. Higgins
Context triple: [Michael D. Higgins, name, Michael D. Higgins]
  • A. Michael D. Higgins chosen
    Michael D. Higgins is an Irish politician, poet, sociologist, and human rights advocate who has served as the ninth president of Ireland.
  • B. Mary McAleese
    Mary McAleese is an Irish politician and academic who served as the eighth President of Ireland from 1997 to 2011.
  • C. Enda Kenny
    Enda Kenny is an Irish politician who served as Taoiseach (Prime Minister of Ireland) and leader of the Fine Gael party in the 2010s.
  • D. Martin McAleese
    Martin McAleese is an Irish dentist, businessman, and public figure best known as the husband of former Irish president Mary McAleese and for his involvement in cross-community and peace-building initiatives.
  • E. Icíar Bollaín
    Icíar Bollaín is a Spanish film director, screenwriter, and actress known for her socially conscious and character-driven films such as "Take My Eyes" and "Even the Rain."
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702433fc481908c332bba30de9a11 completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4fda81881908144cebdd2696e63 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:02 p.m.