Triple

T6018122
Position Surface form Disambiguated ID Type / Status
Subject Christopher Heaney E133996 entity
Predicate sibling P363 FINISHED
Object Catherine Heaney E135334 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: Catherine Heaney | Statement: [Christopher Heaney, sibling, Catherine Heaney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Heaney
Context triple: [Christopher Heaney, sibling, Catherine Heaney]
  • A. Catherine Heaney chosen
    Catherine Heaney is the daughter of Nobel Prize–winning Irish poet Seamus Heaney and has been involved in literary and cultural work related to her father's legacy.
  • B. Niamh Hartnett
    Niamh Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
  • C. Marie Heaney
    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.
  • D. Seamus Heaney
    Seamus Heaney was an Irish poet, playwright, and Nobel laureate renowned for his lyrical explorations of rural life, history, and identity.
  • E. Michael Hartnett
    Michael Hartnett was a prominent Irish poet known for his lyrical style and his work in both English and Irish, often exploring themes of language, identity, and rural life.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8589d0819089ae7840461640f6 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108b842c48190b9469e2892a213d3 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:07 p.m.