Triple

T5889617
Position Surface form Disambiguated ID Type / Status
Subject National University of Ireland E130954 entity
Predicate hasChancellor P325 FINISHED
Object Mary McAleese E120288 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 McAleese | Statement: [National University of Ireland, hasChancellor, Mary McAleese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary McAleese
Context triple: [National University of Ireland, hasChancellor, Mary McAleese]
  • A. Mary McAleese chosen
    Mary McAleese is an Irish politician and academic who served as the eighth President of Ireland from 1997 to 2011.
  • B. Michael D. Higgins
    Michael D. Higgins is an Irish politician, poet, sociologist, and human rights advocate who has served as the ninth president of Ireland.
  • C. 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.
  • D. Siobhán McKenna
    Siobhán McKenna was an acclaimed Irish stage and film actress renowned for her powerful performances in both classical and contemporary roles.
  • E. 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.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b0993081908c239dd2901e6bbe completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b146ad348190baeeecb65f2bf811 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.