Triple

T15632708
Position Surface form Disambiguated ID Type / Status
Subject Aidan Murphy E375855 entity
Predicate spouse P13 FINISHED
Object Olivia O'Flanagan E375856 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: Olivia O'Flanagan | Statement: [Aidan Murphy, spouse, Olivia O'Flanagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia O'Flanagan
Context triple: [Aidan Murphy, spouse, Olivia O'Flanagan]
  • A. Olivia O’Flanagan chosen
    Olivia O’Flanagan is best known as the former wife of Irish actor Aidan Gillen.
  • B. Natalie O'Brien
    Natalie O'Brien is best known as the wife of Kenyan-British singer-songwriter and whistling entertainer Roger Whittaker.
  • C. Alexia Keogh
    Alexia Keogh is an actress best known for her role in the acclaimed New Zealand biographical film "An Angel at My Table."
  • D. Morgan O’Sullivan
    Morgan O’Sullivan is an Irish film and television producer known for his work on major historical drama series and international co-productions.
  • E. Hannah Quinlivan
    Hannah Quinlivan is a Taiwanese-Australian actress and model known internationally for her role in the action film "Skyscraper" (2018) and for her work in Asian television and cinema.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.