Triple
T20266151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Griffith |
E498973
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Maud Sheehan |
—
|
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: Maud Sheehan | Statement: [Arthur Griffith, spouse, Maud Sheehan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maud Sheehan Context triple: [Arthur Griffith, spouse, Maud Sheehan]
-
A.
Maud Sheehan
chosen
Maud Sheehan was the wife of Irish politician and Sinn Féin founder Arthur Griffith.
-
B.
Margaret Shea
Margaret Shea was the wife of American businessman and Johnson & Johnson heir Robert Wood Johnson II.
-
C.
Muriel Irene McBrien
Muriel Irene McBrien, later known as Muriel McBrien Kauffman, was an American philanthropist and arts patron best known for her major contributions to cultural and civic institutions in Kansas City, Missouri.
-
D.
Muriel Murphy
Muriel Murphy was the wife of Irish republican leader Terence MacSwiney and a member of the prominent Cork Murphy brewing family.
-
E.
Geraldine Keams
Geraldine Keams is a Native American actress and storyteller best known for her film and television roles that often highlight Indigenous characters and culture.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cf3d648190a0b0a7795045228a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:42 p.m.