Triple

T22481900
Position Surface form Disambiguated ID Type / Status
Subject Tamasin Day-Lewis E555785 entity
Predicate spouse P13 FINISHED
Object Patrick McGrath NE NERFINISHED

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: Patrick McGrath | Statement: [Tamasin Day-Lewis, spouse, Patrick McGrath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick McGrath
Context triple: [Tamasin Day-Lewis, spouse, Patrick McGrath]
  • A. Patrick McGrath chosen
    Patrick McGrath is a British novelist and short story writer known for his gothic, psychologically dark fiction, including works like "Asylum" and "Spider."
  • B. Patricia Mangan
    Patricia Mangan is a key leader and senior figure at the Irish architectural firm Scott Tallon Walker Architects.
  • C. Jane McGrath
    Jane McGrath was an English-born Australian breast cancer advocate and co-founder of the McGrath Foundation, which supports breast care nurses across Australia.
  • D. Lesley Egan
    Lesley Egan was a British-born American mystery writer best known for her crime and detective novels, often published under multiple pseudonyms.
  • E. Helen McDougall
    Helen McDougall, better known by her stage name Helen Mack, was an American actress who appeared in films, radio, and early television during the 1930s and 1940s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c397b248190b36c2fbfa6489693 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.