Triple
T21125979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Over Nine Waves: A Book of Irish Legends |
E520558
|
entity |
| Predicate | retoldBy |
P104194
|
FINISHED |
| Object | Marie Heaney |
—
|
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: Marie Heaney | Statement: [Over Nine Waves: A Book of Irish Legends, retoldBy, Marie Heaney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Heaney Context triple: [Over Nine Waves: A Book of Irish Legends, retoldBy, 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.
Katherine Kavanagh
Katherine Kavanagh is a confident, outgoing journalism student and Anastasia Steele’s best friend in the Fifty Shades series.
-
C.
Moira Dinneen
Moira Dinneen is a person notable enough to be specifically cited as a bearer of the surname Dinneen.
-
D.
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.
-
E.
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.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72238cf708190a4676c40deea2e46 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:56 p.m.