Triple

T5942550
Position Surface form Disambiguated ID Type / Status
Subject Michael Heaney E132201 entity
Predicate hasRelative P367 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: [Michael Heaney, hasRelative, Catherine Heaney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Heaney
Context triple: [Michael Heaney, hasRelative, 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_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_69c0e3bd196081908361a38ca17309c6 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4:01 p.m.