Triple

T5942539
Position Surface form Disambiguated ID Type / Status
Subject Michael Heaney E132201 entity
Predicate mother P120 FINISHED
Object Marie Heaney E122108 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: Marie Heaney | Statement: [Michael Heaney, mother, Marie Heaney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Heaney
Context triple: [Michael Heaney, mother, Marie Heaney]
  • A. Marie Heaney chosen
    Marie Heaney is an Irish writer and editor known for her work on Irish mythology and folklore, as well as for being married to Nobel laureate poet Seamus Heaney.
  • B. Mary Hartnett
    Mary Hartnett is an American lawyer and author best known as a co-author of the definitive biography of U.S. Supreme Court Justice Ruth Bader Ginsburg.
  • C. Cathleen Nesbitt
    Cathleen Nesbitt was a British character actress known for her long stage and screen career, including memorable supporting roles in classic films of the mid-20th century.
  • D. Maud Sheehan
    Maud Sheehan was the wife of Irish politician and Sinn Féin founder Arthur Griffith.
  • E. Martha Hennessy
    Martha Hennessy is an American Catholic peace activist and granddaughter of Dorothy Day, known for her involvement in the Catholic Worker Movement and anti-nuclear protests.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393641d0819081c6c44816d94e4e completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c07f9ab081909fe7727837fa7f7a completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.